behavenet
latest
Contents:
Installation
User guide
Advanced user guide
BehaveNet data structure
Hyperparameter glossary
behavenet.data
behavenet.fitting
behavenet.models
behavenet.plotting
behavenet.plotting Package
behavenet.plotting.ae_utils Module
behavenet.plotting.cond_ae_utils Module
Functions
get_input_range
compute_range
get_labels_2d_for_trial
get_model_input
interpolate_2d
interpolate_1d
interpolate_point_path
plot_2d_frame_array
plot_1d_frame_array
make_interpolated
make_interpolated_multipanel
fit_classifier
plot_psvae_training_curves
plot_hyperparameter_search_results
plot_label_reconstructions
plot_latent_traversals
make_latent_traversal_movie
plot_mspsvae_training_curves
plot_mspsvae_hyperparameter_search_results
make_session_swap_movie
behavenet.plotting.arhmm_utils Module
behavenet.plotting.decoder_utils Module
behavenet
behavenet.plotting
fit_classifier
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fit_classifier
¶
behavenet.plotting.cond_ae_utils.
fit_classifier
(
model
,
data_generator
,
dtype
=
'val'
,
fit_full
=
False
,
overwrite
=
False
)
[source]
¶
Fit classifier model from latent space to session id.