alp

class Experiment(model=None, metrics=None, verbose=0)

An Experiment trains, predicts, saves and logs a model

Variables:

• model (model) – the model used in the experiment
• metrics (list) – a list of callables

fit(data, data_val, model=None, *args, **kwargs)

Build and fit a model given data and hyperparameters

Parameters:

• data (list(dict)) – a list of dictionnaries mapping inputs and outputs names to numpy arrays for training.
• data_val (list(dict)) – a list of dictionnaries mapping inputs and outputs names to numpy arrays for validation.
• model (model, optionnal) – a model from a supported backend

Returns:

the id of the model in the db, the id of the data in the db and path to the parameters.

fit_async(data, data_val, model=None, *args, **kwargs)

Build and fit asynchronously a model given data and hyperparameters

Parameters:

• data (list(dict)) – a list of dictionnaries mapping inputs and outputs names to numpy arrays for training.
• data_val (list(dict)) – a list of dictionnaries mapping inputs and outputs names to numpy arrays for validation.
• model (model, optionnal) – a model from a supported backend

Returns:

the id of the model in the db, the id of the data in the db and a path to the parameters.

fit_gen(gen_train, data_val, model=None, *args, **kwargs)

Build and fit asynchronously a model given data and hyperparameters

Parameters:

• gen_train (list(dict)) – a list of generators.
• data_val (list(dict)) – a list of dictionnaries mapping inputs and outputs names to numpy arrays or generators for validation.
• model (model, optionnal) – a model from a supported backend

Returns:

the id of the model in the db, the id of the data in the db and a path to the parameters.

fit_gen_async(gen_train, data_val, model=None, *args, **kwargs)

Build and fit asynchronously a model given generator(s) and hyperparameters.

Parameters:

• gen_train (list(dict)) – a list of generators.
• data_val (list(dict)) – a list of dictionnaries mapping inputs and outputs names to numpy arrays or generators for validation.
• model (model, optionnal) – a model from a supported backend

Returns:

the id of the model in the db, the id of the data in the db and a path to the parameters.

load_model(mod_id=None, data_id=None)

Load a model from the database form it’s mod_id and data_id

Parameters:

• mod_id (str) – the id of the model in the database
• data_id (str) – the id of the data in the database

predict(data, *args, **kwargs)

Make predictions given data

Parameters:data (np.array) Returns:an np.array of predictions

predict_async(data, *args, **kwargs)

Make predictions given data

Parameters:data (np.array) Returns:an np.array of predictions

alp.celapp module

Celery config

alp.config module

System Message: WARNING/2 (/home/docs/checkouts/readthedocs.org/user_builds/python-alp/checkouts/latest/docs/reference/alp.rst, line 32)

autodoc: failed to import module u’alp.config’; the following exception was raised: Traceback (most recent call last): File “/home/docs/checkouts/readthedocs.org/user_builds/python-alp/envs/latest/local/lib/python2.7/site-packages/sphinx/ext/autodoc.py”, line 551, in import_object __import__(self.modname) ImportError: No module named config