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arvizrc.template
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arvizrc.template
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#### ArviZ rcParams template ####
### DATA ###
# rcParams related with data loading related functions
data.http_protocol : https # protocol for remote dataset load,
# must be either http or https
data.index_origin : 0 # index origin, must be either 0 or 1
data.load : lazy # Sets the default data loading mode.
# "lazy" stands for xarray lazy loading,
# "eager" loads all datasets into memory
data.log_likelihood : true # save pointwise log likelihood values, one of "true", "false"
data.metagroups : {
posterior_groups: posterior, posterior_predictive, sample_stats, log_likelihood
prior_groups: prior, prior_predictive, sample_stats_prior
posterior_groups_warmup: _warmup_posterior, _warmup_posterior_predictive, _warmup_sample_stats
latent_vars: posterior, prior
observed_vars: posterior_predictive, observed_data, prior_predictive
}
data.save_warmup : false # save warmup iterations, one of "true", "false"
### PLOT ###
# rcParams related with plotting functions
plot.backend : matplotlib # One of "bokeh", "matplotlib"
plot.density_kind : kde # One of "kde", "hist"
plot.max_subplots : 40 # Maximum number of subplots.
plot.point_estimate : mean # One of "mean", "median", "mode" or "None"
# bokeh specific rcParams
plot.bokeh.bounds_x_range : auto # either "auto", "None" or tuple of size 2
plot.bokeh.bounds_y_range : auto # either "auto", "None" or tuple of size 2
plot.bokeh.figure.dpi : 60 # dots (pixels) per inch
plot.bokeh.figure.height : 500 # num of pixels
plot.bokeh.figure.width : 500 # num of pixels
plot.bokeh.layout.order : default # Select subplot structure for bokeh. One of "default", "column", "row", "square", "square_trimmed"
# or "Ncolumn" ("Nrow") where N is an integer number of columns (rows), e.g. "4row" means 4 rows
plot.bokeh.layout.sizing_mode: fixed # Responsive layout. One of "fixed",
# "stretch_width", "stretch_height", "stretch_both",
# "scale_width", "scale_height", "scale_both"
plot.bokeh.layout.toolbar_location : above # Location for toolbar on layouts. "None" will hide the toolbar.
# One of "above", "below", "left", "right".
plot.bokeh.marker : cross # specify the marker type used to plot
plot.bokeh.output_backend : webgl # one of "canvas", "svg", "webgl"
plot.bokeh.show : true # call bokeh.plotting.show for figure or grid of figures. One of "true", "false"
plot.bokeh.tools : reset,pan,box_zoom,wheel_zoom,lasso_select,undo,save,hover
# pan,box_zoom,wheel_zoom,box_select,lasso_select,undo,redo,reset,save,hover
# matplotlib specific rcParams
plot.matplotlib.show : false # call plt.show. One of "true", "false"
### STATS ###
# rcParams related with statistical and diagnostic functions
stats.ci_prob : 0.94 # Friendly reminder of the arbitrary nature of commonly used values like 95%
stats.information_criterion : loo # One of "loo", "waic"
stats.ic_compare_method : stacking # One of "stacking", "bb-pseudo-bma", "pseudo-bma"
stats.ic_pointwise : true # One of "true", "false"
stats.ic_scale : log # One of "deviance", "log", "negative_log"