Functions
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This module uploads trained models to the mlflow server. |
- mlflow_model_writer(builder)[source]
This module uploads trained models to the mlflow server.
- Parameters:
- buildermrc.Builder
mrc Builder object.
Notes
- Configurable Parameters:
conda_env (str): Conda environment for the model; Example:
path/to/conda_env.yml; Default:[Required]databricks_permissions (dict): Permissions for the model; See Below; Default: None
- experiment_name_formatter (str): Formatter for the experiment name;
Example:
experiment_name_{timestamp}; Default:[Required]- model_name_formatter (str): Formatter for the model name; Example:
model_name_{timestamp};
Default:
[Required]- model_name_formatter (str): Formatter for the model name; Example:
timestamp_column_name (str): Name of the timestamp column; Example:
timestamp; Default: timestampsource (str): from source where the logs are generated; Example:
azure; Default:[Required]
- databricks_permissions:
read (array): List of users with read permissions; Example:
["read_user1", "read_user2"]; Default: -write (array): List of users with write permissions; Example:
["write_user1", "write_user2"]; Default: -