Output only. Sample user messages in the training dataset uri.
↳ total_truncated_example_count
int|string
Output only. The number of examples in the dataset that have been dropped. An example can be dropped for reasons including: too many tokens, contains an invalid image, contains too many images, etc.
↳ truncated_example_indices
array
Output only. A partial sample of the indices (starting from 1) of the dropped examples.
↳ dropped_example_reasons
array
Output only. For each index intruncated_example_indices, the user-facing reason why the example was dropped.
getTuningDatasetExampleCount
Output only. Number of examples in the tuning dataset.
Returns
Type
Description
int|string
setTuningDatasetExampleCount
Output only. Number of examples in the tuning dataset.
Parameter
Name
Description
var
int|string
Returns
Type
Description
$this
getTotalTuningCharacterCount
Output only. Number of tuning characters in the tuning dataset.
Returns
Type
Description
int|string
setTotalTuningCharacterCount
Output only. Number of tuning characters in the tuning dataset.
Parameter
Name
Description
var
int|string
Returns
Type
Description
$this
getTotalBillableCharacterCount
Output only. Number of billable characters in the tuning dataset.
Returns
Type
Description
int|string
setTotalBillableCharacterCount
Output only. Number of billable characters in the tuning dataset.
Parameter
Name
Description
var
int|string
Returns
Type
Description
$this
getTotalBillableTokenCount
Output only. Number of billable tokens in the tuning dataset.
Returns
Type
Description
int|string
setTotalBillableTokenCount
Output only. Number of billable tokens in the tuning dataset.
Parameter
Name
Description
var
int|string
Returns
Type
Description
$this
getTuningStepCount
Output only. Number of tuning steps for this Tuning Job.
Returns
Type
Description
int|string
setTuningStepCount
Output only. Number of tuning steps for this Tuning Job.
Parameter
Name
Description
var
int|string
Returns
Type
Description
$this
getUserInputTokenDistribution
Output only. Dataset distributions for the user input tokens.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Google Cloud Ai Platform V1 Client - Class SupervisedTuningDataStats (1.35.0)\n\nVersion latestkeyboard_arrow_down\n\n- [1.35.0 (latest)](/php/docs/reference/cloud-ai-platform/latest/V1.SupervisedTuningDataStats)\n- [1.34.0](/php/docs/reference/cloud-ai-platform/1.34.0/V1.SupervisedTuningDataStats)\n- [1.33.0](/php/docs/reference/cloud-ai-platform/1.33.0/V1.SupervisedTuningDataStats)\n- [1.32.1](/php/docs/reference/cloud-ai-platform/1.32.1/V1.SupervisedTuningDataStats)\n- [1.31.0](/php/docs/reference/cloud-ai-platform/1.31.0/V1.SupervisedTuningDataStats)\n- [1.30.0](/php/docs/reference/cloud-ai-platform/1.30.0/V1.SupervisedTuningDataStats)\n- [1.26.0](/php/docs/reference/cloud-ai-platform/1.26.0/V1.SupervisedTuningDataStats)\n- [1.23.0](/php/docs/reference/cloud-ai-platform/1.23.0/V1.SupervisedTuningDataStats)\n- [1.22.0](/php/docs/reference/cloud-ai-platform/1.22.0/V1.SupervisedTuningDataStats)\n- [1.21.0](/php/docs/reference/cloud-ai-platform/1.21.0/V1.SupervisedTuningDataStats)\n- [1.20.0](/php/docs/reference/cloud-ai-platform/1.20.0/V1.SupervisedTuningDataStats)\n- [1.19.0](/php/docs/reference/cloud-ai-platform/1.19.0/V1.SupervisedTuningDataStats)\n- [1.18.0](/php/docs/reference/cloud-ai-platform/1.18.0/V1.SupervisedTuningDataStats)\n- [1.17.0](/php/docs/reference/cloud-ai-platform/1.17.0/V1.SupervisedTuningDataStats)\n- [1.16.0](/php/docs/reference/cloud-ai-platform/1.16.0/V1.SupervisedTuningDataStats)\n- [1.15.0](/php/docs/reference/cloud-ai-platform/1.15.0/V1.SupervisedTuningDataStats)\n- [1.14.0](/php/docs/reference/cloud-ai-platform/1.14.0/V1.SupervisedTuningDataStats)\n- [1.13.1](/php/docs/reference/cloud-ai-platform/1.13.1/V1.SupervisedTuningDataStats)\n- [1.12.0](/php/docs/reference/cloud-ai-platform/1.12.0/V1.SupervisedTuningDataStats)\n- [1.11.0](/php/docs/reference/cloud-ai-platform/1.11.0/V1.SupervisedTuningDataStats)\n- [1.10.0](/php/docs/reference/cloud-ai-platform/1.10.0/V1.SupervisedTuningDataStats)\n- [1.9.0](/php/docs/reference/cloud-ai-platform/1.9.0/V1.SupervisedTuningDataStats)\n- [1.8.0](/php/docs/reference/cloud-ai-platform/1.8.0/V1.SupervisedTuningDataStats)\n- [1.7.0](/php/docs/reference/cloud-ai-platform/1.7.0/V1.SupervisedTuningDataStats)\n- [1.6.0](/php/docs/reference/cloud-ai-platform/1.6.0/V1.SupervisedTuningDataStats)\n- [1.5.0](/php/docs/reference/cloud-ai-platform/1.5.0/V1.SupervisedTuningDataStats)\n- [1.4.0](/php/docs/reference/cloud-ai-platform/1.4.0/V1.SupervisedTuningDataStats)\n- [1.3.0](/php/docs/reference/cloud-ai-platform/1.3.0/V1.SupervisedTuningDataStats)\n- [1.2.0](/php/docs/reference/cloud-ai-platform/1.2.0/V1.SupervisedTuningDataStats)\n- [1.1.0](/php/docs/reference/cloud-ai-platform/1.1.0/V1.SupervisedTuningDataStats)\n- [1.0.0](/php/docs/reference/cloud-ai-platform/1.0.0/V1.SupervisedTuningDataStats)\n- [0.39.0](/php/docs/reference/cloud-ai-platform/0.39.0/V1.SupervisedTuningDataStats)\n- [0.38.0](/php/docs/reference/cloud-ai-platform/0.38.0/V1.SupervisedTuningDataStats)\n- [0.37.1](/php/docs/reference/cloud-ai-platform/0.37.1/V1.SupervisedTuningDataStats)\n- [0.32.0](/php/docs/reference/cloud-ai-platform/0.32.0/V1.SupervisedTuningDataStats)\n- [0.31.0](/php/docs/reference/cloud-ai-platform/0.31.0/V1.SupervisedTuningDataStats)\n- [0.30.0](/php/docs/reference/cloud-ai-platform/0.30.0/V1.SupervisedTuningDataStats)\n- [0.29.0](/php/docs/reference/cloud-ai-platform/0.29.0/V1.SupervisedTuningDataStats)\n- [0.28.0](/php/docs/reference/cloud-ai-platform/0.28.0/V1.SupervisedTuningDataStats)\n- [0.27.0](/php/docs/reference/cloud-ai-platform/0.27.0/V1.SupervisedTuningDataStats)\n- [0.26.2](/php/docs/reference/cloud-ai-platform/0.26.2/V1.SupervisedTuningDataStats)\n- [0.25.0](/php/docs/reference/cloud-ai-platform/0.25.0/V1.SupervisedTuningDataStats)\n- [0.24.0](/php/docs/reference/cloud-ai-platform/0.24.0/V1.SupervisedTuningDataStats)\n- [0.23.0](/php/docs/reference/cloud-ai-platform/0.23.0/V1.SupervisedTuningDataStats)\n- [0.22.0](/php/docs/reference/cloud-ai-platform/0.22.0/V1.SupervisedTuningDataStats)\n- [0.21.0](/php/docs/reference/cloud-ai-platform/0.21.0/V1.SupervisedTuningDataStats)\n- [0.20.0](/php/docs/reference/cloud-ai-platform/0.20.0/V1.SupervisedTuningDataStats)\n- [0.19.0](/php/docs/reference/cloud-ai-platform/0.19.0/V1.SupervisedTuningDataStats)\n- [0.18.0](/php/docs/reference/cloud-ai-platform/0.18.0/V1.SupervisedTuningDataStats)\n- [0.17.0](/php/docs/reference/cloud-ai-platform/0.17.0/V1.SupervisedTuningDataStats)\n- [0.16.0](/php/docs/reference/cloud-ai-platform/0.16.0/V1.SupervisedTuningDataStats)\n- [0.15.0](/php/docs/reference/cloud-ai-platform/0.15.0/V1.SupervisedTuningDataStats)\n- [0.13.0](/php/docs/reference/cloud-ai-platform/0.13.0/V1.SupervisedTuningDataStats)\n- [0.12.0](/php/docs/reference/cloud-ai-platform/0.12.0/V1.SupervisedTuningDataStats)\n- [0.11.1](/php/docs/reference/cloud-ai-platform/0.11.1/V1.SupervisedTuningDataStats)\n- [0.10.0](/php/docs/reference/cloud-ai-platform/0.10.0/V1.SupervisedTuningDataStats) \nReference documentation and code samples for the Google Cloud Ai Platform V1 Client class SupervisedTuningDataStats.\n\nTuning data statistics for Supervised Tuning.\n\nGenerated from protobuf message `google.cloud.aiplatform.v1.SupervisedTuningDataStats`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ AIPlatform \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getTuningDatasetExampleCount\n\nOutput only. Number of examples in the tuning dataset.\n\n### setTuningDatasetExampleCount\n\nOutput only. Number of examples in the tuning dataset.\n\n### getTotalTuningCharacterCount\n\nOutput only. Number of tuning characters in the tuning dataset.\n\n### setTotalTuningCharacterCount\n\nOutput only. Number of tuning characters in the tuning dataset.\n\n### getTotalBillableCharacterCount\n\nOutput only. Number of billable characters in the tuning dataset.\n\n### setTotalBillableCharacterCount\n\nOutput only. Number of billable characters in the tuning dataset.\n\n### getTotalBillableTokenCount\n\nOutput only. Number of billable tokens in the tuning dataset.\n\n### setTotalBillableTokenCount\n\nOutput only. Number of billable tokens in the tuning dataset.\n\n### getTuningStepCount\n\nOutput only. Number of tuning steps for this Tuning Job.\n\n### setTuningStepCount\n\nOutput only. Number of tuning steps for this Tuning Job.\n\n### getUserInputTokenDistribution\n\nOutput only. Dataset distributions for the user input tokens.\n\n### hasUserInputTokenDistribution\n\n### clearUserInputTokenDistribution\n\n### setUserInputTokenDistribution\n\nOutput only. Dataset distributions for the user input tokens.\n\n### getUserOutputTokenDistribution\n\nOutput only. Dataset distributions for the user output tokens.\n\n### hasUserOutputTokenDistribution\n\n### clearUserOutputTokenDistribution\n\n### setUserOutputTokenDistribution\n\nOutput only. Dataset distributions for the user output tokens.\n\n### getUserMessagePerExampleDistribution\n\nOutput only. Dataset distributions for the messages per example.\n\n### hasUserMessagePerExampleDistribution\n\n### clearUserMessagePerExampleDistribution\n\n### setUserMessagePerExampleDistribution\n\nOutput only. Dataset distributions for the messages per example.\n\n### getUserDatasetExamples\n\nOutput only. Sample user messages in the training dataset uri.\n\n### setUserDatasetExamples\n\nOutput only. Sample user messages in the training dataset uri.\n\n### getTotalTruncatedExampleCount\n\nOutput only. The number of examples in the dataset that have been dropped.\n\nAn example can be dropped for reasons including: too many tokens, contains\nan invalid image, contains too many images, etc.\n\n### setTotalTruncatedExampleCount\n\nOutput only. The number of examples in the dataset that have been dropped.\n\nAn example can be dropped for reasons including: too many tokens, contains\nan invalid image, contains too many images, etc.\n\n### getTruncatedExampleIndices\n\nOutput only. A partial sample of the indices (starting from 1) of the\ndropped examples.\n\n### setTruncatedExampleIndices\n\nOutput only. A partial sample of the indices (starting from 1) of the\ndropped examples.\n\n### getDroppedExampleReasons\n\nOutput only. For each index in `truncated_example_indices`, the user-facing\nreason why the example was dropped.\n\n### setDroppedExampleReasons\n\nOutput only. For each index in `truncated_example_indices`, the user-facing\nreason why the example was dropped."]]
