lale package¶
Subpackages¶
- lale.datasets package
- Subpackages
- Submodules
- lale.datasets.data_schemas module
DataFrameWithSchema
NDArrayWithSchema
SeriesWithSchema
SparkDataFrameWithIndex
add_schema()
add_schema_adjusting_n_rows()
add_table_name()
csr_matrix_to_schema()
dataframe_to_schema()
dtype_to_schema()
forward_metadata()
get_index_name()
get_index_names()
get_table_name()
is_liac_arff()
is_list_tensor()
liac_arff_to_schema()
list_tensor_to_schema()
list_tensor_to_shape_and_dtype()
make_optional_schema()
ndarray_to_schema()
series_to_schema()
shape_and_dtype_to_schema()
spark_df_to_schema()
strip_schema()
to_schema()
torch_tensor_to_schema()
- lale.datasets.movie_review module
- lale.datasets.sklearn_to_pandas module
- lale.datasets.util module
- lale.datasets.data_schemas module
- Module contents
- lale.lib package
- lale.search package
- lale.util package
- Submodules
- lale.util.Visitor module
- lale.util.VisitorMeta module
- lale.util.VisitorPathError module
- lale.util.batch_data_dictionary_dataset module
- lale.util.hdf5_to_torch_dataset module
- lale.util.numpy_to_torch_dataset module
- lale.util.numpy_torch_dataset module
- lale.util.pandas_to_torch_dataset module
- lale.util.pandas_torch_dataset module
- Module contents
- Submodules
Submodules¶
- lale.docstrings module
- lale.expressions module
Expr
FixUnparser
asc()
astype()
collect_set()
count()
day_of_month()
day_of_week()
day_of_year()
desc()
distinct_count()
first()
fixedUnparse()
hash()
hash_mod()
hour()
identity()
isnan()
isnotnan()
isnotnull()
isnull()
ite()
item()
max()
max_gap_to_cutoff()
mean()
median()
min()
minute()
mode()
month()
normalized_count()
normalized_sum()
recent()
recent_gap_to_cutoff()
replace()
string_indexer()
sum()
trend()
variance()
window_max()
window_max_trend()
window_mean()
window_mean_trend()
window_min()
window_min_trend()
window_variance()
window_variance_trend()
- lale.grammar module
- lale.helpers module
GenSym
add_missing_values()
append_batch()
are_hyperparameters_equal()
arg_name()
assignee_name()
create_data_loader()
create_individual_op_using_reflection()
create_instance_from_hyperopt_search_space()
cross_val_score()
cross_val_score_track_trials()
data_to_json()
dict_without()
find_lale_wrapper()
fold_schema()
get_estimator_param_name_from_hyperparams()
get_name_and_index()
get_sklearn_estimator_name()
import_from_sklearn()
import_from_sklearn_pipeline()
instantiate_from_hyperopt_search_space()
is_empty_dict()
is_numeric_structure()
json_lookup()
make_array_index_name()
make_degen_indexed_name()
make_indexed_name()
make_nested_hyperopt_space()
ndarray_to_json()
nest_HPparam()
nest_HPparams()
nest_all_HPparams()
nest_choice_HPparam()
nest_choice_HPparams()
nest_choice_all_HPparams()
partition_sklearn_choice_params()
partition_sklearn_params()
split_with_schemas()
to_graphviz()
unnest_HPparams()
unnest_choice()
val_wrapper
with_fixed_estimator_name()
write_batch_output_to_file()
- lale.json_operator module
- lale.operator_wrapper module
- lale.operators module
- scikit-learn compatibility:
BasePipeline
BasePipeline.edges()
BasePipeline.export_to_sklearn_pipeline()
BasePipeline.get_defaults()
BasePipeline.get_last()
BasePipeline.get_params()
BasePipeline.input_schema_fit()
BasePipeline.is_classifier()
BasePipeline.is_supervised()
BasePipeline.remove_last()
BasePipeline.set_params()
BasePipeline.steps
BasePipeline.steps_list()
BasePipeline.transform_schema()
BasePipeline.validate_schema()
IndividualOp
IndividualOp.MAX_FIX_DEPTH
IndividualOp.MAX_FIX_SUGGESTIONS
IndividualOp.class_name()
IndividualOp.documentation_url()
IndividualOp.enum
IndividualOp.frozen_hyperparams()
IndividualOp.get_defaults()
IndividualOp.get_forwards()
IndividualOp.get_param_dist()
IndividualOp.get_param_ranges()
IndividualOp.get_params()
IndividualOp.get_schema()
IndividualOp.get_tags()
IndividualOp.has_method()
IndividualOp.has_schema()
IndividualOp.has_tag()
IndividualOp.hyperparam_schema()
IndividualOp.hyperparams()
IndividualOp.hyperparams_all()
IndividualOp.impl
IndividualOp.impl_class
IndividualOp.input_schema_decision_function()
IndividualOp.input_schema_fit()
IndividualOp.input_schema_partial_fit()
IndividualOp.input_schema_predict()
IndividualOp.input_schema_predict_log_proba()
IndividualOp.input_schema_predict_proba()
IndividualOp.input_schema_score_samples()
IndividualOp.input_schema_transform()
IndividualOp.input_schema_transform_X_y()
IndividualOp.is_classifier()
IndividualOp.is_regressor()
IndividualOp.is_supervised()
IndividualOp.is_transformer()
IndividualOp.output_schema_decision_function()
IndividualOp.output_schema_predict()
IndividualOp.output_schema_predict_log_proba()
IndividualOp.output_schema_predict_proba()
IndividualOp.output_schema_score_samples()
IndividualOp.output_schema_transform()
IndividualOp.output_schema_transform_X_y()
IndividualOp.reduced_hyperparams()
IndividualOp.shallow_impl
IndividualOp.transform_schema()
IndividualOp.validate_schema()
Operator
Operator.class_name()
Operator.classes_
Operator.clone()
Operator.coef_
Operator.diff()
Operator.feature_importances_
Operator.get_defaults()
Operator.get_forwards()
Operator.get_param_dist()
Operator.get_param_ranges()
Operator.get_params()
Operator.input_schema_fit()
Operator.is_classifier()
Operator.is_frozen_trainable()
Operator.is_frozen_trained()
Operator.is_supervised()
Operator.n_classes_
Operator.name()
Operator.pretty_print()
Operator.replace()
Operator.to_json()
Operator.to_lale()
Operator.transform_schema()
Operator.validate_schema()
Operator.visualize()
Operator.with_params()
OperatorChoice
OperatorChoice.fit()
OperatorChoice.get_defaults()
OperatorChoice.get_params()
OperatorChoice.input_schema_fit()
OperatorChoice.is_classifier()
OperatorChoice.is_frozen_trainable()
OperatorChoice.is_supervised()
OperatorChoice.set_params()
OperatorChoice.steps
OperatorChoice.steps_list()
OperatorChoice.transform_schema()
OperatorChoice.validate_schema()
PlannedIndividualOp
PlannedOperator
PlannedPipeline
TrainableIndividualOp
TrainableIndividualOp.convert_to_trained()
TrainableIndividualOp.customize_schema()
TrainableIndividualOp.decision_function()
TrainableIndividualOp.fit()
TrainableIndividualOp.free_hyperparams()
TrainableIndividualOp.freeze_trainable()
TrainableIndividualOp.freeze_trained()
TrainableIndividualOp.get_pipeline()
TrainableIndividualOp.input_schema_fit()
TrainableIndividualOp.partial_fit()
TrainableIndividualOp.predict()
TrainableIndividualOp.predict_log_proba()
TrainableIndividualOp.predict_proba()
TrainableIndividualOp.score()
TrainableIndividualOp.score_samples()
TrainableIndividualOp.set_params()
TrainableIndividualOp.summary()
TrainableIndividualOp.transform()
TrainableIndividualOp.transform_schema()
TrainableOperator
TrainablePipeline
TrainablePipeline.convert_to_trained()
TrainablePipeline.decision_function()
TrainablePipeline.fit()
TrainablePipeline.freeze_trainable()
TrainablePipeline.freeze_trained()
TrainablePipeline.is_transformer()
TrainablePipeline.partial_fit()
TrainablePipeline.predict()
TrainablePipeline.predict_log_proba()
TrainablePipeline.predict_proba()
TrainablePipeline.remove_last()
TrainablePipeline.score()
TrainablePipeline.score_samples()
TrainablePipeline.transform()
TrainedIndividualOp
TrainedIndividualOp.customize_schema()
TrainedIndividualOp.decision_function()
TrainedIndividualOp.fit()
TrainedIndividualOp.freeze_trainable()
TrainedIndividualOp.freeze_trained()
TrainedIndividualOp.get_pipeline()
TrainedIndividualOp.is_frozen_trained()
TrainedIndividualOp.partial_fit()
TrainedIndividualOp.predict()
TrainedIndividualOp.predict_log_proba()
TrainedIndividualOp.predict_proba()
TrainedIndividualOp.score()
TrainedIndividualOp.score_samples()
TrainedIndividualOp.summary()
TrainedIndividualOp.transform()
TrainedIndividualOp.transform_X_y()
TrainedOperator
TrainedPipeline
TrainedPipeline.decision_function()
TrainedPipeline.freeze_trainable()
TrainedPipeline.partial_fit()
TrainedPipeline.predict()
TrainedPipeline.predict_log_proba()
TrainedPipeline.predict_proba()
TrainedPipeline.remove_last()
TrainedPipeline.score()
TrainedPipeline.score_samples()
TrainedPipeline.transform()
TrainedPipeline.transform_X_y()
TrainedPipeline.transform_with_batches()
clone_op()
customize_schema()
get_available_estimators()
get_available_operators()
get_available_transformers()
get_lib_schemas()
get_op_from_lale_lib()
make_choice()
make_operator()
make_pipeline()
make_pipeline_graph()
make_pretrained_operator()
make_union()
make_union_no_concat()
with_structured_params()
wrap_operator()
- lale.pretty_print module
- lale.schema2enums module
- lale.schema_ranges module
- lale.schema_simplifier module
enumValues()
filterForOptimizer()
findRelevantFields()
hasAllOperatorSchemas()
hasAnyOperatorSchemas()
impossible()
liftAllOf()
liftAnyOf()
narrowSimplifyAndFilter()
narrowToGivenRelevantFields()
narrowToRelevantConstraints()
narrowToRelevantFields()
set_with_str_for_keys
simplify()
simplifyAll()
simplifyAny()
simplifyNot()
simplifyNot_()
toAllOfList()
toAnyOfList()
- lale.schema_utils module
- lale.schemas module
- lale.settings module
- lale.sklearn_compat module
- lale.type_checking module
- lale.visualize module