As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Types for Google Cloud Aiplatform V1 Schema Predict Params v1 API

class google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageClassificationPredictionParams(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction model parameters for Image Classification.

confidence_threshold

The Model only returns predictions with at least this confidence score. Default value is 0.0

Type:

float

max_predictions

The Model only returns up to that many top, by confidence score, predictions per instance. If this number is very high, the Model may return fewer predictions. Default value is 10.

Type:

int

confidence_threshold: float

max_predictions: int

class google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageObjectDetectionPredictionParams(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction model parameters for Image Object Detection.

confidence_threshold

The Model only returns predictions with at least this confidence score. Default value is 0.0

Type:

float

max_predictions

The Model only returns up to that many top, by confidence score, predictions per instance. Note that number of returned predictions is also limited by metadata’s predictionsLimit. Default value is 10.

Type:

int

confidence_threshold: float

max_predictions: int

class google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageSegmentationPredictionParams(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction model parameters for Image Segmentation.

confidence_threshold

When the model predicts category of pixels of the image, it will only provide predictions for pixels that it is at least this much confident about. All other pixels will be classified as background. Default value is 0.5.

Type:

float

confidence_threshold: float

class google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoActionRecognitionPredictionParams(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction model parameters for Video Action Recognition.

confidence_threshold

The Model only returns predictions with at least this confidence score. Default value is 0.0

Type:

float

max_predictions

The model only returns up to that many top, by confidence score, predictions per frame of the video. If this number is very high, the Model may return fewer predictions per frame. Default value is 50.

Type:

int

confidence_threshold: float

max_predictions: int

class google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoClassificationPredictionParams(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction model parameters for Video Classification.

confidence_threshold

The Model only returns predictions with at least this confidence score. Default value is 0.0

Type:

float

max_predictions

The Model only returns up to that many top, by confidence score, predictions per instance. If this number is very high, the Model may return fewer predictions. Default value is 10,000.

Type:

int

segment_classification

Set to true to request segment-level classification. Vertex AI returns labels and their confidence scores for the entire time segment of the video that user specified in the input instance. Default value is true

Type:

bool

shot_classification

Set to true to request shot-level classification. Vertex AI determines the boundaries for each camera shot in the entire time segment of the video that user specified in the input instance. Vertex AI then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

Type:

bool

one_sec_interval_classification

Set to true to request classification for a video at one-second intervals. Vertex AI returns labels and their confidence scores for each second of the entire time segment of the video that user specified in the input WARNING: Model evaluation is not done for this classification type, the quality of it depends on the training data, but there are no metrics provided to describe that quality. Default value is false

Type:

bool

confidence_threshold: float

max_predictions: int

one_sec_interval_classification: bool

segment_classification: bool

shot_classification: bool

class google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoObjectTrackingPredictionParams(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bases: Message

Prediction model parameters for Video Object Tracking.

confidence_threshold

The Model only returns predictions with at least this confidence score. Default value is 0.0

Type:

float

max_predictions

The model only returns up to that many top, by confidence score, predictions per frame of the video. If this number is very high, the Model may return fewer predictions per frame. Default value is 50.

Type:

int

min_bounding_box_size

Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Default value is 0.0.

Type:

float

confidence_threshold: float

max_predictions: int

min_bounding_box_size: float