GEV responses#
In this tutorial, we illustrate how to set up a distributional regression model with the generalized extreme value distribution as a response distribution. First, we simulate some data in R:
The location parameter (\(\mu\)) is a function of an intercept and a non-linear covariate effect.
The scale parameter (\(\sigma\)) is a function of an intercept and a linear effect and uses a log-link.
The shape or concentration parameter (\(\xi\)) is a function of an intercept and a linear effect.
After simulating the data, we can configure the model with a single call
to the rliesel::liesel() function.
library(rliesel)
Please make sure you are using a virtual or conda environment with Liesel installed, e.g. using `reticulate::use_virtualenv()` or `reticulate::use_condaenv()`. See `vignette("versions", "reticulate")`.
After setting the environment, check if the installed versions of RLiesel and Liesel are compatible with `check_liesel_version()`.
library(VGAM)
Loading required package: stats4
Loading required package: splines
set.seed(1337)
n <- 1000
x0 <- runif(n)
x1 <- runif(n)
x2 <- runif(n)
y <- rgev(
n,
location = 0 + sin(2 * pi * x0),
scale = exp(-3 + x1),
shape = 0.1 + x2
)
plot(y)
model <- liesel(
response = y,
distribution = "GeneralizedExtremeValue",
predictors = list(
loc = predictor(~ s(x0)),
scale = predictor(~ x1, inverse_link = "Exp"),
concentration = predictor(~ x2)
)
)
Installed Liesel version 0.2.6-dev is compatible, continuing to set up model
Now, we can continue in Python and use the lsl.dist_reg_mcmc()
function to set up a sampling algorithm with IWLS kernels for the
regression coefficients (\(\boldsymbol{\beta}\)) and a Gibbs kernel for
the smoothing parameter (\(\tau^2\)) of the spline. Note that we need to
set \(\beta_0\) for \(\xi\) to 0.1 manually, because \(\xi = 0\) breaks the
sampler.
import liesel.model as lsl
import jax.numpy as jnp
model = r.model
# concentration == 0.0 seems to break the sampler
model.vars["concentration_p0_beta"].value = jnp.array([0.1, 0.0])
builder = lsl.dist_reg_mcmc(model, seed=42, num_chains=4)
builder.set_duration(warmup_duration=1000, posterior_duration=1000)
engine = builder.build()
liesel.goose.engine - INFO - Initializing kernels...
liesel.goose.engine - INFO - Done
engine.sample_all_epochs()
liesel.goose.engine - INFO - Starting epoch: FAST_ADAPTATION, 75 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 75, 75, 75, 75 / 75 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 75, 75, 75, 75 / 75 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 75, 75, 75, 75 / 75 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 75, 75, 75, 75 / 75 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Starting epoch: SLOW_ADAPTATION, 25 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 25, 25, 25, 25 / 25 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 25, 25, 25, 25 / 25 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 25, 25, 25, 25 / 25 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 25, 25, 25, 25 / 25 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Starting epoch: SLOW_ADAPTATION, 50 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Starting epoch: SLOW_ADAPTATION, 100 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 100, 100, 100, 100 / 100 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 100, 100, 100, 100 / 100 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 100, 100, 100, 100 / 100 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 100, 100, 100, 100 / 100 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Starting epoch: SLOW_ADAPTATION, 200 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 200, 200, 200, 200 / 200 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 200, 200, 200, 200 / 200 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 200, 200, 200, 200 / 200 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 200, 200, 200, 200 / 200 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Starting epoch: SLOW_ADAPTATION, 500 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 500, 500, 500, 500 / 500 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 500, 500, 500, 500 / 500 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 500, 500, 500, 500 / 500 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 500, 500, 500, 500 / 500 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Starting epoch: FAST_ADAPTATION, 50 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 50, 50, 50, 50 / 50 transitions
liesel.goose.engine - INFO - Finished epoch
liesel.goose.engine - INFO - Finished warmup
liesel.goose.engine - INFO - Starting epoch: POSTERIOR, 1000 transitions, 25 jitted together
liesel.goose.engine - WARNING - Errors per chain for kernel_00: 1000, 1000, 1000, 1000 / 1000 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_01: 1000, 1000, 1000, 1000 / 1000 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_03: 1000, 1000, 1000, 1000 / 1000 transitions
liesel.goose.engine - WARNING - Errors per chain for kernel_04: 1000, 1000, 1000, 1000 / 1000 transitions
liesel.goose.engine - INFO - Finished epoch
Some tabular summary statistics of the posterior samples:
import liesel.goose as gs
results = engine.get_results()
gs.Summary(results)
Parameter summary:
| kernel | mean | sd | q_0.05 | q_0.5 | q_0.95 | sample_size | ess_bulk | ess_tail | rhat | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| parameter | index | ||||||||||
| concentration_p0_beta | (0,) | kernel_00 | -0.181 | 1.327 | -1.305 | -0.743 | 2.069 | 4000 | 4.032 | 4.032 | inf |
| (1,) | kernel_00 | -0.254 | 1.126 | -1.868 | -0.197 | 1.246 | 4000 | 4.032 | 4.032 | inf | |
| loc_np0_beta | (0,) | kernel_03 | 0.242 | 1.007 | -1.481 | 0.715 | 1.019 | 4000 | 4.032 | 4.032 | inf |
| (1,) | kernel_03 | -0.057 | 1.423 | -1.486 | -0.109 | 1.475 | 4000 | 4.032 | 4.032 | inf | |
| (2,) | kernel_03 | -0.107 | 0.608 | -1.094 | 0.066 | 0.537 | 4000 | 4.032 | 4.032 | inf | |
| (3,) | kernel_03 | 0.588 | 0.783 | -0.668 | 0.766 | 1.488 | 4000 | 4.032 | 4.032 | inf | |
| (4,) | kernel_03 | -0.550 | 1.340 | -1.466 | -1.248 | 1.762 | 4000 | 4.032 | 4.032 | inf | |
| (5,) | kernel_03 | 1.342 | 0.435 | 0.778 | 1.381 | 1.830 | 4000 | 4.032 | 4.032 | inf | |
| (6,) | kernel_03 | -0.468 | 0.603 | -1.227 | -0.423 | 0.201 | 4000 | 4.032 | 4.032 | inf | |
| (7,) | kernel_03 | 0.322 | 0.885 | -0.499 | 0.005 | 1.777 | 4000 | 4.032 | 4.032 | inf | |
| (8,) | kernel_03 | 0.064 | 1.296 | -1.605 | -0.043 | 1.946 | 4000 | 4.032 | 4.032 | inf | |
| loc_np0_tau2 | () | kernel_02 | 1.682 | 1.263 | 0.623 | 1.366 | 3.730 | 4000 | 69.478 | 649.803 | 1.045 |
| loc_p0_beta | (0,) | kernel_04 | -0.250 | 1.297 | -1.715 | -0.266 | 1.248 | 4000 | 4.032 | 4.032 | inf |
| scale_p0_beta | (0,) | kernel_01 | 0.182 | 1.311 | -1.729 | 0.362 | 1.732 | 4000 | 4.032 | 4.032 | inf |
| (1,) | kernel_01 | 0.314 | 1.146 | -1.338 | 0.358 | 1.878 | 4000 | 4.032 | 4.032 | inf |
Error summary:
| count | relative | ||||
|---|---|---|---|---|---|
| kernel | error_code | error_msg | phase | ||
| kernel_00 | 90 | nan acceptance prob | warmup | 4000 | 1.000 |
| posterior | 4000 | 1.000 | |||
| kernel_01 | 90 | nan acceptance prob | warmup | 4000 | 1.000 |
| posterior | 4000 | 1.000 | |||
| kernel_03 | 90 | nan acceptance prob | warmup | 4000 | 1.000 |
| posterior | 4000 | 1.000 | |||
| kernel_04 | 90 | nan acceptance prob | warmup | 4000 | 1.000 |
| posterior | 4000 | 1.000 |
And the corresponding trace plots:
fig = gs.plot_trace(results, "loc_p0_beta")
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
fig = gs.plot_trace(results, "loc_np0_tau2")
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
fig = gs.plot_trace(results, "loc_np0_beta")
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
fig = gs.plot_trace(results, "scale_p0_beta")
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
fig = gs.plot_trace(results, "concentration_p0_beta")
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
if pd.api.types.is_categorical_dtype(vector):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
with pd.option_context('mode.use_inf_as_na', True):
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/seaborn/_oldcore.py:1057: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
grouped_data = data.groupby(
We need to reset the index of the summary data frame before we can transfer it to R.
summary = gs.Summary(results).to_dataframe().reset_index()
/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/arviz/stats/diagnostics.py:592: RuntimeWarning: divide by zero encountered in scalar divide
(between_chain_variance / within_chain_variance + num_samples - 1) / (num_samples)
After transferring the summary data frame to R, we can process it with packages like dplyr and ggplot2. Here is a visualization of the estimated spline vs. the true function:
library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
library(ggplot2)
library(reticulate)
summary <- py$summary
beta <- summary %>%
filter(variable == "loc_np0_beta") %>%
group_by(var_index) %>%
summarize(mean = mean(mean)) %>%
ungroup()
beta <- beta$mean
X <- py_to_r(model$vars["loc_np0_X"]$value)
estimate <- X %*% beta
true <- sin(2 * pi * x0)
ggplot(data.frame(x0 = x0, estimate = estimate, true = true)) +
geom_line(aes(x0, estimate), color = palette()[2]) +
geom_line(aes(x0, true), color = palette()[4]) +
ggtitle("Estimated spline (red) vs. true function (blue)") +
ylab("f") +
theme_minimal()
