MachineLearning#
Client#
- class MachineLearning.Client#
A low-level client representing Amazon Machine Learning Definition of the public APIs exposed by Amazon Machine Learning:
client = session.create_client('machinelearning')
These are the available methods:
- add_tags
- can_paginate
- close
- create_batch_prediction
- create_data_source_from_rds
- create_data_source_from_redshift
- create_data_source_from_s3
- create_evaluation
- create_ml_model
- create_realtime_endpoint
- delete_batch_prediction
- delete_data_source
- delete_evaluation
- delete_ml_model
- delete_realtime_endpoint
- delete_tags
- describe_batch_predictions
- describe_data_sources
- describe_evaluations
- describe_ml_models
- describe_tags
- get_batch_prediction
- get_data_source
- get_evaluation
- get_ml_model
- get_paginator
- get_waiter
- predict
- update_batch_prediction
- update_data_source
- update_evaluation
- update_ml_model
Client Exceptions#
Client exceptions are available on a client instance via the exceptions property. For more detailed instructions and examples on the exact usage of client exceptions, see the error handling user guide.
The available client exceptions are:
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are:
Waiters#
Waiters are available on a client instance via the get_waiter method. For more detailed instructions and examples on the usage or waiters, see the waiters user guide.
The available waiters are: