module mlbatch.cache_model#
Short summary#
module mlinsights.mlbatch.cache_model
Caches to cache training.
Classes#
class |
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Implements a cache to reduce the number of trainings a grid search has to do. |
Static Methods#
staticmethod |
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Converts a list of parameters into a key. |
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Creates a new cache. |
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Gets a cache with a given name. |
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Tells if cache name is present. |
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Removes a cache with a given name. |
Methods#
method |
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Returns the number of cached items. |
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Caches one object. |
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Retrieves the number of times an elements was retrieved from the cache. |
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Retrieves an element from the cache. |
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Enumerates all cached items. |
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Enumerates all cached keys. |
Documentation#
Caches to cache training.
- class mlinsights.mlbatch.cache_model.MLCache(name)#
Bases:
objectImplements a cache to reduce the number of trainings a grid search has to do.
- Parameters
name – name of the cache
- __init__(name)#
- Parameters
name – name of the cache
- __len__()#
Returns the number of cached items.
- static as_key(params)#
Converts a list of parameters into a key.
- Parameters
params – dictionary
- Returns
key as a string
- cache(params, value)#
Caches one object.
- Parameters
params – dictionary of parameters
value – value to cache
- count(params)#
Retrieves the number of times an elements was retrieved from the cache.
- Parameters
params – dictionary of parameters
- Returns
int
- static create_cache(name)#
Creates a new cache.
- Parameters
name – name
- Returns
created cache
- get(params, default=None)#
Retrieves an element from the cache.
- Parameters
params – dictionary of parameters
default – if not found
- Returns
value or None if it does not exists
- static get_cache(name)#
Gets a cache with a given name.
- Parameters
name – name
- Returns
created cache
- static has_cache(name)#
Tells if cache name is present.
- Parameters
name – name
- Returns
boolean
- items()#
Enumerates all cached items.
- keys()#
Enumerates all cached keys.
- static remove_cache(name)#
Removes a cache with a given name.
- Parameters
name – name