Actions for AI agents

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Showing 10633-10656 of 33122 Actions, ordered by recent successful use.

Databricks Tools
Databricks Ml Experiments Get Run
Tool to retrieve complete information about a specific MLflow run including metadata, metrics, parameters, tags, inputs, and outputs. Use when you need to get details of a run by its run_id. Returns the most recent metric values when multiple metrics with the same key exist.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Batch
Tool to log a batch of metrics, parameters, and tags for an MLflow run in a single request. Use when you need to efficiently log multiple metrics, params, or tags simultaneously. Items within each type are processed sequentially in the order specified. The combined total of all…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Inputs
Tool to log dataset inputs to an MLflow run for tracking data sources used during model development. Use when you need to track metadata about datasets used in ML experiment runs, including information about the dataset source, schema, and tags. Enables logging of dataset inputs…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Logged Model Params
Tool to log parameters for a logged model in MLflow. Use when you need to attach hyperparameters or metadata to a LoggedModel object. A param can be logged only once for a logged model, and attempting to overwrite an existing param will result in an error. Available in MLflow 2.…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Metric
Tool to log a metric for an MLflow run with timestamp. Use when you need to record ML model performance metrics like accuracy, loss, or custom evaluation metrics. Metrics can be logged multiple times with different timestamps and values are never overwritten - each log appends t…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Model
Tool to log a model artifact for an MLflow run (Experimental API). Use when you need to record model metadata including artifact paths, flavors, and versioning information for a training run. The model_json parameter should contain a complete MLmodel specification in JSON string…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Outputs
Tool to log dataset outputs from an MLflow run for tracking data generated during model development. Use when you need to track metadata about datasets produced by ML experiment runs, including information about predictions, model outputs, or generated data. Enables logging of d…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Log Param
Tool to log a parameter for an MLflow run as a key-value pair. Use when you need to record hyperparameters or constant values for ML model training or ETL pipelines. Parameters can only be logged once per run and cannot be changed after logging. Logging identical parameters is i…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Restore Experiment
Tool to restore a deleted MLflow experiment and its associated metadata, runs, metrics, params, and tags. Use when you need to recover a previously deleted experiment from Databricks. If the experiment uses FileStore, underlying artifacts are also restored.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Restore Run
Tool to restore a deleted MLflow run and its associated metadata, runs, metrics, params, and tags. Use when you need to recover a previously deleted run from Databricks ML experiments. The operation cannot restore runs that were permanently deleted.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Restore Runs
Tool to bulk restore runs in an ML experiment that were deleted at or after a specified timestamp. Use when you need to recover multiple deleted experiment runs. Only runs deleted at or after the specified timestamp are restored. The maximum number of runs that can be restored i…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Search Logged Models
Tool to search for logged models in MLflow experiments based on various criteria. Use when you need to find models that match specific metrics, parameters, tags, or attributes using SQL-like filter expressions. Supports pagination, ordering results, and filtering by datasets.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Set Experiment Tag
Tool to set a tag on an MLflow experiment. Use when you need to add or update experiment metadata. Experiment tags are metadata that can be updated at any time.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Set Logged Model Tags
Tool to set tags on a logged model in MLflow. Use when you need to add or update metadata tags on a LoggedModel object for organization and tracking. Tags are key-value pairs that can be used to search and filter logged models. Part of MLflow 3's logged model management capabili…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Set Permissions
Tool to set permissions for an MLflow experiment, replacing all existing permissions. Use when you need to configure access control for an experiment. This operation replaces ALL existing permissions; for incremental updates, use the update permissions endpoint instead.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Set Tag
Tool to set a tag on an MLflow run. Use when you need to add custom metadata to runs for filtering, searching, and organizing experiments. Tags with the same key can be overwritten by successive writes. Logging the same tag (key, value) is idempotent.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Update Experiment
Tool to update MLflow experiment metadata, primarily for renaming experiments. Use when you need to rename an existing experiment. The new experiment name must be unique across all experiments in the workspace.
FreeWrite action
Databricks Tools
Databricks Ml Experiments Update Permissions
Tool to incrementally update permissions for an MLflow experiment. Use when you need to modify specific permissions without replacing the entire permission set. This PATCH operation updates only the specified permissions, preserving existing permissions not included in the reque…
FreeWrite action
Databricks Tools
Databricks Ml Experiments Update Run
Tool to update MLflow run metadata including status, end time, and run name. Use when a run's status changes outside normal execution flow or when you need to rename a run. This endpoint allows you to modify a run's metadata after it has been created.
FreeWrite action
Databricks Tools
Databricks Ml Feature Eng Delete Kafka Config
Tool to delete a Kafka configuration from ML Feature Engineering. Use when you need to remove Kafka streaming source configurations. The deletion is permanent and cannot be undone. Kafka configurations define how features are streamed from Kafka sources.
FreeWrite action
Databricks Tools
Databricks Ml Feature Store Create Online Store
Tool to create a Databricks Online Feature Store for real-time feature serving. Use when you need to establish serverless infrastructure for low-latency access to feature data at scale. Requires Databricks Runtime 16.4 LTS ML or above, or serverless compute.
FreeWrite action
Databricks Tools
Databricks Ml Feature Store Delete Online Store
Tool to delete an online store from ML Feature Store. Use when you need to remove online stores that provide low-latency feature serving infrastructure. The deletion is permanent and cannot be undone. Online stores are used for real-time feature retrieval in production ML servin…
FreeWrite action
Databricks Tools
Databricks Ml Forecasting Create Experiment
Tool to create a new AutoML forecasting experiment for time series prediction. Use when you need to automatically train and optimize forecasting models on time series data. The experiment will train multiple models and select the best one based on the primary metric.
FreeWrite action
Databricks Tools
Databricks Ml Mat Features Delete Feature Tag
Delete a metadata tag from a specific feature column in a Databricks ML Feature Store table. This operation removes the tag association from the feature but does not affect the actual feature data. The operation is idempotent - it succeeds even if the tag doesn't exist, making i…
FreeWrite action

Databricks Ml Experiments Get Run

Databricks Ml Experiments Log Batch

Databricks Ml Experiments Log Inputs

Databricks Ml Experiments Log Logged Model Params

Databricks Ml Experiments Log Metric

Databricks Ml Experiments Log Model

Databricks Ml Experiments Log Outputs

Databricks Ml Experiments Log Param

Databricks Ml Experiments Restore Experiment

Databricks Ml Experiments Restore Run

Databricks Ml Experiments Restore Runs

Databricks Ml Experiments Search Logged Models

Databricks Ml Experiments Set Experiment Tag

Databricks Ml Experiments Set Logged Model Tags

Databricks Ml Experiments Set Permissions

Databricks Ml Experiments Set Tag

Databricks Ml Experiments Update Experiment

Databricks Ml Experiments Update Permissions

Databricks Ml Experiments Update Run

Databricks Ml Feature Eng Delete Kafka Config

Databricks Ml Feature Store Create Online Store

Databricks Ml Feature Store Delete Online Store

Databricks Ml Forecasting Create Experiment

Databricks Ml Mat Features Delete Feature Tag