forked from googleapis/python-aiplatform
-
Notifications
You must be signed in to change notification settings - Fork 0
/
__init__.py
96 lines (88 loc) · 2.64 KB
/
__init__.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from google.cloud.aiplatform import gapic
from google.cloud.aiplatform import explain
from google.cloud.aiplatform import initializer
from google.cloud.aiplatform.datasets import (
ImageDataset,
TabularDataset,
TextDataset,
TimeSeriesDataset,
VideoDataset,
)
from google.cloud.aiplatform import hyperparameter_tuning
from google.cloud.aiplatform.metadata import metadata
from google.cloud.aiplatform.models import Endpoint
from google.cloud.aiplatform.models import Model
from google.cloud.aiplatform.pipeline_jobs import PipelineJob
from google.cloud.aiplatform.jobs import (
BatchPredictionJob,
CustomJob,
HyperparameterTuningJob,
)
from google.cloud.aiplatform.training_jobs import (
CustomTrainingJob,
CustomContainerTrainingJob,
CustomPythonPackageTrainingJob,
AutoMLTabularTrainingJob,
AutoMLForecastingTrainingJob,
AutoMLImageTrainingJob,
AutoMLTextTrainingJob,
AutoMLVideoTrainingJob,
)
from google.cloud.aiplatform.column import data_types
"""
Usage:
from google.cloud import aiplatform
aiplatform.init(project='my_project')
"""
init = initializer.global_config.init
log_params = metadata.metadata_service.log_params
log_metrics = metadata.metadata_service.log_metrics
get_experiment_df = metadata.metadata_service.get_experiment_df
get_pipeline_df = metadata.metadata_service.get_pipeline_df
start_run = metadata.metadata_service.start_run
__all__ = (
"explain",
"gapic",
"init",
"hyperparameter_tuning",
"log_params",
"log_metrics",
"get_experiment_df",
"get_pipeline_df",
"start_run",
"AutoMLImageTrainingJob",
"AutoMLTabularTrainingJob",
"AutoMLForecastingTrainingJob",
"AutoMLTextTrainingJob",
"AutoMLVideoTrainingJob",
"BatchPredictionJob",
"CustomJob",
"CustomTrainingJob",
"CustomContainerTrainingJob",
"CustomPythonPackageTrainingJob",
"Endpoint",
"ImageDataset",
"HyperparameterTuningJob",
"Model",
"PipelineJob",
"TabularDataset",
"TextDataset",
"TimeSeriesDataset",
"VideoDataset",
"data_types",
)