Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V _ _get_processed_data() (mlui.classes.model.Model method) _get_processed_shape() (mlui.classes.model.Model method) _set_config() (mlui.classes.model.Model method) _shapes_to_list() (mlui.classes.model.Model method) _update_history() (mlui.classes.model.Model method) A activation (mlui.types.classes.DenseParams attribute) Adam (class in mlui.widgets.optimizers) AdamParams (class in mlui.types.classes) as_bytes (mlui.classes.model.Model property) B BatchNormalization (class in mlui.widgets.layers) BatchNormalizationParams (class in mlui.types.classes) beta_1 (mlui.types.classes.AdamParams attribute) beta_2 (mlui.types.classes.AdamParams attribute) built (mlui.classes.model.Model property) C CallbackParams (class in mlui.types.classes) CallbackWidget (class in mlui.widgets.callbacks) check_task() (in module mlui.decorators.pages) columns (mlui.classes.data.Data property) compile() (mlui.classes.model.Model method) compile_model_ui() (in module mlui.widgets.compile) compiled (mlui.classes.model.Model property) Concatenate (class in mlui.widgets.layers) contains_nans() (in module mlui.tools.data) contains_nonnumeric_dtypes() (in module mlui.tools.data) create() (mlui.classes.model.CreatedModel method) create_model_ui() (in module mlui.widgets.create) CreatedModel (class in mlui.classes.model) CreateError D Data (class in mlui.classes.data) data_info_ui() (in module mlui.widgets.data) dataframe (mlui.classes.data.Data property) dataframe_ui() (in module mlui.widgets.data) delete_callback() (mlui.classes.model.Model method) delete_last_layer() (mlui.classes.model.CreatedModel method) DeleteError Dense (class in mlui.widgets.layers) DenseParams (class in mlui.types.classes) download_model_ui() (in module mlui.widgets.model) Dropout (class in mlui.widgets.layers) DropoutParams (class in mlui.types.classes) E EarlyStopping (class in mlui.widgets.callbacks) EarlyStoppingParams (class in mlui.types.classes) empty (mlui.classes.data.Data property) epsilon (mlui.types.classes.BatchNormalizationParams attribute) evaluate() (mlui.classes.model.UploadedModel method) evaluate_model_ui() (in module mlui.widgets.evaluate) F fit() (mlui.classes.model.Model method) fit_model_ui() (in module mlui.widgets.train) G get_callback() (mlui.classes.model.Model method) get_connection() (mlui.widgets.layers.BatchNormalization method) (mlui.widgets.layers.Concatenate method) (mlui.widgets.layers.Dense method) (mlui.widgets.layers.Dropout method) (mlui.widgets.layers.Input method) (mlui.widgets.layers.LayerWidget method) get_features() (mlui.classes.model.Model method) get_loss() (mlui.classes.model.Model method) get_metrics() (mlui.classes.model.Model method) get_optimizer() (mlui.classes.model.Model method) get_stats() (mlui.classes.data.Data method) get_unused_columns() (mlui.classes.data.Data method) graph (mlui.classes.model.Model property) graph_ui() (in module mlui.widgets.model) H has_nans (mlui.classes.data.Data property) has_nonnumeric_dtypes (mlui.classes.data.Data property) history (mlui.classes.model.Model property) I Input (class in mlui.widgets.layers) input_configured (mlui.classes.model.Model property) input_shape (mlui.classes.model.Model property) InputParams (class in mlui.types.classes) inputs (mlui.classes.model.Model property) L LayerError LayerParams (class in mlui.types.classes) layers (mlui.classes.model.CreatedModel property) LayerWidget (class in mlui.widgets.layers) learning_rate (mlui.types.classes.AdamParams attribute) (mlui.types.classes.RMSpropParams attribute) (mlui.types.classes.SGDParams attribute) M make_predictions_ui() (in module mlui.widgets.predict) min_delta (mlui.types.classes.EarlyStoppingParams attribute) mlui.classes.data module mlui.classes.errors module mlui.classes.model module mlui.decorators.pages module mlui.decorators.session module mlui.tools.data module mlui.tools.model module mlui.types.classes module mlui.widgets.callbacks module mlui.widgets.compile module mlui.widgets.configure module mlui.widgets.create module mlui.widgets.data module mlui.widgets.evaluate module mlui.widgets.layers module mlui.widgets.model module mlui.widgets.optimizers module mlui.widgets.predict module mlui.widgets.train module mlui.widgets.upload module Model (class in mlui.classes.model) model_info_ui() (in module mlui.widgets.model) ModelError module mlui.classes.data mlui.classes.errors mlui.classes.model mlui.decorators.pages mlui.decorators.session mlui.tools.data mlui.tools.model mlui.types.classes mlui.widgets.callbacks mlui.widgets.compile mlui.widgets.configure mlui.widgets.create mlui.widgets.data mlui.widgets.evaluate mlui.widgets.layers mlui.widgets.model mlui.widgets.optimizers mlui.widgets.predict mlui.widgets.train mlui.widgets.upload momentum (mlui.types.classes.BatchNormalizationParams attribute) (mlui.types.classes.RMSpropParams attribute) (mlui.types.classes.SGDParams attribute) N name (mlui.classes.model.Model property) O OptimizerParams (class in mlui.types.classes) OptimizerWidget (class in mlui.widgets.optimizers) output_configured (mlui.classes.model.Model property) output_shape (mlui.classes.model.Model property) outputs (mlui.classes.model.Model property) P params (mlui.widgets.callbacks.CallbackWidget property) (mlui.widgets.callbacks.EarlyStopping property) (mlui.widgets.callbacks.TerminateOnNaN property) (mlui.widgets.layers.BatchNormalization property) (mlui.widgets.layers.Concatenate property) (mlui.widgets.layers.Dense property) (mlui.widgets.layers.Dropout property) (mlui.widgets.layers.Input property) (mlui.widgets.layers.LayerWidget property) (mlui.widgets.optimizers.Adam property) (mlui.widgets.optimizers.OptimizerWidget property) (mlui.widgets.optimizers.RMSprop property) (mlui.widgets.optimizers.SGD property) parse_csv() (in module mlui.tools.data) ParseCSVError patience (mlui.types.classes.EarlyStoppingParams attribute) plot_columns() (mlui.classes.data.Data method) plot_columns_ui() (in module mlui.widgets.data) plot_history() (mlui.classes.model.Model method) plot_history_ui() (in module mlui.widgets.train) PlotError predict() (mlui.classes.model.UploadedModel method) R rate (mlui.types.classes.DropoutParams attribute) reset_data_ui() (in module mlui.widgets.data) reset_model_ui() (in module mlui.widgets.model) reset_state() (mlui.classes.data.Data method) (mlui.classes.model.CreatedModel method) (mlui.classes.model.Model method) rho (mlui.types.classes.RMSpropParams attribute) RMSprop (class in mlui.widgets.optimizers) RMSpropParams (class in mlui.types.classes) S set_callback() (mlui.classes.model.Model method) set_callbacks_ui() (in module mlui.widgets.configure) set_features() (mlui.classes.model.Model method) set_features_ui() (in module mlui.widgets.configure) set_layer() (mlui.classes.model.CreatedModel method) set_layers_ui() (in module mlui.widgets.create) set_loss() (mlui.classes.model.Model method) set_loss_functions_ui() (in module mlui.widgets.compile) set_metrics() (mlui.classes.model.Model method) set_metrics_ui() (in module mlui.widgets.compile) set_name() (mlui.classes.model.CreatedModel method) set_name_ui() (in module mlui.widgets.create) set_optimizer() (mlui.classes.model.Model method) set_optimizer_ui() (in module mlui.widgets.compile) set_outputs() (mlui.classes.model.CreatedModel method) set_outputs_ui() (in module mlui.widgets.create) set_state() (in module mlui.decorators.session) set_unused_columns() (mlui.classes.data.Data method) SetError SGD (class in mlui.widgets.optimizers) SGDParams (class in mlui.types.classes) shape (mlui.types.classes.InputParams attribute) statistics_ui() (in module mlui.widgets.data) summary (mlui.classes.model.Model property) summary_ui() (in module mlui.widgets.model) T TerminateOnNaN (class in mlui.widgets.callbacks) U units (mlui.types.classes.DenseParams attribute) update_state() (mlui.classes.data.Data method) (mlui.classes.model.Model method) upload() (mlui.classes.data.Data method) (mlui.classes.model.UploadedModel method) upload_data_ui() (in module mlui.widgets.upload) upload_model_ui() (in module mlui.widgets.upload) UploadedModel (class in mlui.classes.model) UploadError V validate_df() (in module mlui.tools.data) validate_shapes() (in module mlui.tools.model) ValidateDataError ValidateModelError