Module h2o_wave_ml.ml
Functions
build_model
Trains a model.
The function has to be called with target_column and train_file_path or train_df at least to be functionable. If model_type is not specified, it is inferred from the current environment. Defaults to an H2O-3 model.
Args
target_column- The name of the target column (the column to be predicted).
train_file_path- The path to the training dataset.
train_df- Pandas DataFrame as a training set instead of file.
model_metric- Optional evaluation metric to be used for modeling.
task_type- Optional task type. Will be automatically determined if it's not specified.
model_type- Optional model type.
categorical_columns- Optional list of column names to be converted (from numeric) to categorical.
feature_columns- Optional list of column names to be used for modeling.
drop_columns- Optional list of column names to be dropped before modeling.
validation_file_path- Optional path to a validation dataset.
validation_df- Optional Pandas DataFrame as a validation dataset.
access_token- Optional access token if engine needs to be authenticated.
refresh_token- Optional refresh token if model needs to be authenticated.
kwargs- Optional parameters to be passed to the model builder, Steam or MLOps.
Kwargs
The list of the supported DAI parameters. The parameters description can be found here.
_dai_accuracy
_dai_time
_dai_interpretability
_dai_scorer
_dai_models
_dai_transformers
_dai_weight_column
_dai_fold_column
_dai_time_column
_dai_time_groups_columns
_dai_unavailable_at_prediction_time_columns
_dai_enable_gpus
_dai_reproducible
_dai_time_period_in_seconds
_dai_num_prediction_periods
_dai_num_gap_periods
_dai_config_overrides
The list of the supported H2O-3 parameters. The parameters description can be found here.
_h2o3_max_runtime_secs
_h2o3_max_models
_h2o3_nfolds
_h2o3_balance_classes
_h2o3_class_sampling_factors
_h2o3_max_after_balance_size
_h2o3_max_runtime_secs_per_model
_h2o3_stopping_metric
_h2o3_stopping_tolerance
_h2o3_stopping_rounds
_h2o3_seed
_h2o3_exclude_algos
_h2o3_include_algos
_h2o3_modeling_plan
_h2o3_preprocessing
_h2o3_exploitation_ratio
_h2o3_monotone_constraints
_h2o3_keep_cross_validation_predictions
_h2o3_keep_cross_validation_models
_h2o3_keep_cross_validation_fold_assignment
_h2o3_verbosity
_h2o3_export_checkpoints_dir
The list of the supported Steam options.
_steam_dai_instance_name
_steam_dai_multinode_name
The list of the supported MLOps options.
_mlops_deployment_env
Returns
The Wave model.
get_model
Retrieves a remote model using its ID or url.
Args
model_id- The unique ID of the model.
endpoint_url- The endpoint url for deployed model.
model_type- Optional type of the model.
access_token- Optional access token if model needs to be authenticated.
refresh_token- Optional refresh token if model needs to be authenticated.
Returns
The Wave model.