Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class StratifiedSplit.
Assigns input data to the training, validation, and test sets so that the
distribution of values found in the categorical column (as specified by the
key field) is mirrored within each split. The fraction values determine
the relative sizes of the splits.
For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C", and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C". Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned. Supported only for tabular Datasets.
Generated from protobuf message google.cloud.aiplatform.v1.StratifiedSplit
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ training_fraction |
float
The fraction of the input data that is to be used to train the Model. |
↳ validation_fraction |
float
The fraction of the input data that is to be used to validate the Model. |
↳ test_fraction |
float
The fraction of the input data that is to be used to evaluate the Model. |
↳ key |
string
Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column. |
getTrainingFraction
The fraction of the input data that is to be used to train the Model.
Generated from protobuf field double training_fraction = 1;
| Returns | |
|---|---|
| Type | Description |
float | |
setTrainingFraction
The fraction of the input data that is to be used to train the Model.
Generated from protobuf field double training_fraction = 1;
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getValidationFraction
The fraction of the input data that is to be used to validate the Model.
Generated from protobuf field double validation_fraction = 2;
| Returns | |
|---|---|
| Type | Description |
float | |
setValidationFraction
The fraction of the input data that is to be used to validate the Model.
Generated from protobuf field double validation_fraction = 2;
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getTestFraction
The fraction of the input data that is to be used to evaluate the Model.
Generated from protobuf field double test_fraction = 3;
| Returns | |
|---|---|
| Type | Description |
float | |
setTestFraction
The fraction of the input data that is to be used to evaluate the Model.
Generated from protobuf field double test_fraction = 3;
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getKey
Required. The key is a name of one of the Dataset's data columns.
The key provided must be for a categorical column.
Generated from protobuf field string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Returns | |
|---|---|
| Type | Description |
string | |
setKey
Required. The key is a name of one of the Dataset's data columns.
The key provided must be for a categorical column.
Generated from protobuf field string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this | |