Python API

MLflow Python API 组织为以下模块。最常用的函数暴露在 mlflow 模块中，因此我们建议从那里开始。

• mlflow
• MLflow Tracing APIs
• MLflow Logged Model APIs
• mlflow.ag2
• mlflow.agno
• mlflow.anthropic
• mlflow.artifacts
• mlflow.autogen
• mlflow.bedrock
• mlflow.catboost
• mlflow.client
• mlflow.config
• mlflow.crewai
• mlflow.data
• mlflow.deployments
• mlflow.diviner
• mlflow.dspy
• mlflow.entities
• mlflow.environment_variables
• mlflow.gateway
• mlflow.gemini
• mlflow.genai
• mlflow.groq
• mlflow.h2o
• mlflow.johnsnowlabs
• mlflow.keras
• mlflow.langchain
• mlflow.lightgbm
• mlflow.litellm
• mlflow.llama_index
• mlflow.metrics
• mlflow.mistral
• mlflow.models
• mlflow.onnx
• mlflow.openai
• mlflow.paddle
• mlflow.pmdarima
• mlflow.projects
• mlflow.promptflow
• mlflow.prophet
• mlflow.pydantic_ai
• mlflow.pyfunc
• mlflow.pyspark.ml
• mlflow.pytorch
• mlflow.sagemaker
• mlflow.sentence_transformers
• mlflow.server
• mlflow.shap
• mlflow.sklearn
• mlflow.smolagents
• mlflow.spacy
• mlflow.spark
• mlflow.statsmodels
• mlflow.system_metrics
• mlflow.tensorflow
• mlflow.tracing
• mlflow.transformers
• mlflow.types
• mlflow.utils
• mlflow.webhooks
• mlflow.xgboost

另请参见 index of all functions and classes.

日志级别

MLflow Python APIs 在执行期间使用 Python Logging API 记录信息。您可以使用下面的代码片段配置 MLflow 日志的级别。有关 Python 日志级别的更多信息，请参阅 Python language logging guide。

import logging

logger = logging.getLogger("mlflow")

# Set log level to debugging
logger.setLevel(logging.DEBUG)