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# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import array
from abc import ABCMeta
import copy
import numpy as np
from py4j.java_gateway import JavaObject
from pyspark.ml.linalg import DenseVector, Vector, Matrix
from pyspark.ml.util import Identifiable
__all__ = ['Param', 'Params', 'TypeConverters']
[docs]class Param(object):
"""
A param with self-contained documentation.
.. versionadded:: 1.3.0
"""
def __init__(self, parent, name, doc, typeConverter=None):
if not isinstance(parent, Identifiable):
raise TypeError("Parent must be an Identifiable but got type %s." % type(parent))
self.parent = parent.uid
self.name = str(name)
self.doc = str(doc)
self.typeConverter = TypeConverters.identity if typeConverter is None else typeConverter
def _copy_new_parent(self, parent):
"""Copy the current param to a new parent, must be a dummy param."""
if self.parent == "undefined":
param = copy.copy(self)
param.parent = parent.uid
return param
else:
raise ValueError("Cannot copy from non-dummy parent %s." % parent)
def __str__(self):
return str(self.parent) + "__" + self.name
def __repr__(self):
return "Param(parent=%r, name=%r, doc=%r)" % (self.parent, self.name, self.doc)
def __hash__(self):
return hash(str(self))
def __eq__(self, other):
if isinstance(other, Param):
return self.parent == other.parent and self.name == other.name
else:
return False
[docs]class TypeConverters(object):
"""
Factory methods for common type conversion functions for `Param.typeConverter`.
.. versionadded:: 2.0.0
"""
@staticmethod
def _is_numeric(value):
vtype = type(value)
return vtype in [int, float, np.float64, np.int64] or vtype.__name__ == 'long'
@staticmethod
def _is_integer(value):
return TypeConverters._is_numeric(value) and float(value).is_integer()
@staticmethod
def _can_convert_to_list(value):
vtype = type(value)
return vtype in [list, np.ndarray, tuple, range, array.array] or isinstance(value, Vector)
@staticmethod
def _can_convert_to_string(value):
vtype = type(value)
return isinstance(value, str) or vtype in [np.unicode_, np.string_, np.str_]
[docs] @staticmethod
def identity(value):
"""
Dummy converter that just returns value.
"""
return value
[docs] @staticmethod
def toList(value):
"""
Convert a value to a list, if possible.
"""
if type(value) == list:
return value
elif type(value) in [np.ndarray, tuple, range, array.array]:
return list(value)
elif isinstance(value, Vector):
return list(value.toArray())
else:
raise TypeError("Could not convert %s to list" % value)
[docs] @staticmethod
def toListFloat(value):
"""
Convert a value to list of floats, if possible.
"""
if TypeConverters._can_convert_to_list(value):
value = TypeConverters.toList(value)
if all(map(lambda v: TypeConverters._is_numeric(v), value)):
return [float(v) for v in value]
raise TypeError("Could not convert %s to list of floats" % value)
[docs] @staticmethod
def toListListFloat(value):
"""
Convert a value to list of list of floats, if possible.
"""
if TypeConverters._can_convert_to_list(value):
value = TypeConverters.toList(value)
return [TypeConverters.toListFloat(v) for v in value]
raise TypeError("Could not convert %s to list of list of floats" % value)
[docs] @staticmethod
def toListInt(value):
"""
Convert a value to list of ints, if possible.
"""
if TypeConverters._can_convert_to_list(value):
value = TypeConverters.toList(value)
if all(map(lambda v: TypeConverters._is_integer(v), value)):
return [int(v) for v in value]
raise TypeError("Could not convert %s to list of ints" % value)
[docs] @staticmethod
def toListString(value):
"""
Convert a value to list of strings, if possible.
"""
if TypeConverters._can_convert_to_list(value):
value = TypeConverters.toList(value)
if all(map(lambda v: TypeConverters._can_convert_to_string(v), value)):
return [TypeConverters.toString(v) for v in value]
raise TypeError("Could not convert %s to list of strings" % value)
[docs] @staticmethod
def toVector(value):
"""
Convert a value to a MLlib Vector, if possible.
"""
if isinstance(value, Vector):
return value
elif TypeConverters._can_convert_to_list(value):
value = TypeConverters.toList(value)
if all(map(lambda v: TypeConverters._is_numeric(v), value)):
return DenseVector(value)
raise TypeError("Could not convert %s to vector" % value)
[docs] @staticmethod
def toMatrix(value):
"""
Convert a value to a MLlib Matrix, if possible.
"""
if isinstance(value, Matrix):
return value
raise TypeError("Could not convert %s to matrix" % value)
[docs] @staticmethod
def toFloat(value):
"""
Convert a value to a float, if possible.
"""
if TypeConverters._is_numeric(value):
return float(value)
else:
raise TypeError("Could not convert %s to float" % value)
[docs] @staticmethod
def toInt(value):
"""
Convert a value to an int, if possible.
"""
if TypeConverters._is_integer(value):
return int(value)
else:
raise TypeError("Could not convert %s to int" % value)
[docs] @staticmethod
def toString(value):
"""
Convert a value to a string, if possible.
"""
if isinstance(value, str):
return value
elif type(value) in [np.string_, np.str_, np.unicode_]:
return str(value)
else:
raise TypeError("Could not convert %s to string type" % type(value))
[docs] @staticmethod
def toBoolean(value):
"""
Convert a value to a boolean, if possible.
"""
if type(value) == bool:
return value
else:
raise TypeError("Boolean Param requires value of type bool. Found %s." % type(value))
[docs]class Params(Identifiable, metaclass=ABCMeta):
"""
Components that take parameters. This also provides an internal
param map to store parameter values attached to the instance.
.. versionadded:: 1.3.0
"""
def __init__(self):
super(Params, self).__init__()
#: internal param map for user-supplied values param map
self._paramMap = {}
#: internal param map for default values
self._defaultParamMap = {}
#: value returned by :py:func:`params`
self._params = None
# Copy the params from the class to the object
self._copy_params()
def _copy_params(self):
"""
Copy all params defined on the class to current object.
"""
cls = type(self)
src_name_attrs = [(x, getattr(cls, x)) for x in dir(cls)]
src_params = list(filter(lambda nameAttr: isinstance(nameAttr[1], Param), src_name_attrs))
for name, param in src_params:
setattr(self, name, param._copy_new_parent(self))
@property
def params(self):
"""
Returns all params ordered by name. The default implementation
uses :py:func:`dir` to get all attributes of type
:py:class:`Param`.
"""
if self._params is None:
self._params = list(filter(lambda attr: isinstance(attr, Param),
[getattr(self, x) for x in dir(self) if x != "params" and
not isinstance(getattr(type(self), x, None), property)]))
return self._params
[docs] def explainParam(self, param):
"""
Explains a single param and returns its name, doc, and optional
default value and user-supplied value in a string.
"""
param = self._resolveParam(param)
values = []
if self.isDefined(param):
if param in self._defaultParamMap:
values.append("default: %s" % self._defaultParamMap[param])
if param in self._paramMap:
values.append("current: %s" % self._paramMap[param])
else:
values.append("undefined")
valueStr = "(" + ", ".join(values) + ")"
return "%s: %s %s" % (param.name, param.doc, valueStr)
[docs] def explainParams(self):
"""
Returns the documentation of all params with their optionally
default values and user-supplied values.
"""
return "\n".join([self.explainParam(param) for param in self.params])
[docs] def getParam(self, paramName):
"""
Gets a param by its name.
"""
param = getattr(self, paramName)
if isinstance(param, Param):
return param
else:
raise ValueError("Cannot find param with name %s." % paramName)
[docs] def isSet(self, param):
"""
Checks whether a param is explicitly set by user.
"""
param = self._resolveParam(param)
return param in self._paramMap
[docs] def hasDefault(self, param):
"""
Checks whether a param has a default value.
"""
param = self._resolveParam(param)
return param in self._defaultParamMap
[docs] def isDefined(self, param):
"""
Checks whether a param is explicitly set by user or has
a default value.
"""
return self.isSet(param) or self.hasDefault(param)
[docs] def hasParam(self, paramName):
"""
Tests whether this instance contains a param with a given
(string) name.
"""
if isinstance(paramName, str):
p = getattr(self, paramName, None)
return isinstance(p, Param)
else:
raise TypeError("hasParam(): paramName must be a string")
[docs] def getOrDefault(self, param):
"""
Gets the value of a param in the user-supplied param map or its
default value. Raises an error if neither is set.
"""
param = self._resolveParam(param)
if param in self._paramMap:
return self._paramMap[param]
else:
return self._defaultParamMap[param]
[docs] def copy(self, extra=None):
"""
Creates a copy of this instance with the same uid and some
extra params. The default implementation creates a
shallow copy using :py:func:`copy.copy`, and then copies the
embedded and extra parameters over and returns the copy.
Subclasses should override this method if the default approach
is not sufficient.
Parameters
----------
extra : dict, optional
Extra parameters to copy to the new instance
Returns
-------
:py:class:`Params`
Copy of this instance
"""
if extra is None:
extra = dict()
that = copy.copy(self)
that._paramMap = {}
that._defaultParamMap = {}
return self._copyValues(that, extra)
[docs] def set(self, param, value):
"""
Sets a parameter in the embedded param map.
"""
self._shouldOwn(param)
try:
value = param.typeConverter(value)
except ValueError as e:
raise ValueError('Invalid param value given for param "%s". %s' % (param.name, e))
self._paramMap[param] = value
def _shouldOwn(self, param):
"""
Validates that the input param belongs to this Params instance.
"""
if not (self.uid == param.parent and self.hasParam(param.name)):
raise ValueError("Param %r does not belong to %r." % (param, self))
def _resolveParam(self, param):
"""
Resolves a param and validates the ownership.
Parameters
----------
param : str or :py:class:`Param`
param name or the param instance, which must
belong to this Params instance
Returns
-------
:py:class:`Param`
resolved param instance
"""
if isinstance(param, Param):
self._shouldOwn(param)
return param
elif isinstance(param, str):
return self.getParam(param)
else:
raise TypeError("Cannot resolve %r as a param." % param)
def _testOwnParam(self, param_parent, param_name):
"""
Test the ownership. Return True or False
"""
return self.uid == param_parent and self.hasParam(param_name)
@staticmethod
def _dummy():
"""
Returns a dummy Params instance used as a placeholder to
generate docs.
"""
dummy = Params()
dummy.uid = "undefined"
return dummy
def _set(self, **kwargs):
"""
Sets user-supplied params.
"""
for param, value in kwargs.items():
p = getattr(self, param)
if value is not None:
try:
value = p.typeConverter(value)
except TypeError as e:
raise TypeError('Invalid param value given for param "%s". %s' % (p.name, e))
self._paramMap[p] = value
return self
[docs] def clear(self, param):
"""
Clears a param from the param map if it has been explicitly set.
"""
if self.isSet(param):
del self._paramMap[param]
def _setDefault(self, **kwargs):
"""
Sets default params.
"""
for param, value in kwargs.items():
p = getattr(self, param)
if value is not None and not isinstance(value, JavaObject):
try:
value = p.typeConverter(value)
except TypeError as e:
raise TypeError('Invalid default param value given for param "%s". %s'
% (p.name, e))
self._defaultParamMap[p] = value
return self
def _copyValues(self, to, extra=None):
"""
Copies param values from this instance to another instance for
params shared by them.
Parameters
----------
to : :py:class:`Params`
the target instance
extra : dict, optional
extra params to be copied
Returns
-------
:py:class:`Params`
the target instance with param values copied
"""
paramMap = self._paramMap.copy()
if isinstance(extra, dict):
for param, value in extra.items():
if isinstance(param, Param):
paramMap[param] = value
else:
raise TypeError("Expecting a valid instance of Param, but received: {}"
.format(param))
elif extra is not None:
raise TypeError("Expecting a dict, but received an object of type {}."
.format(type(extra)))
for param in self.params:
# copy default params
if param in self._defaultParamMap and to.hasParam(param.name):
to._defaultParamMap[to.getParam(param.name)] = self._defaultParamMap[param]
# copy explicitly set params
if param in paramMap and to.hasParam(param.name):
to._set(**{param.name: paramMap[param]})
return to
def _resetUid(self, newUid):
"""
Changes the uid of this instance. This updates both
the stored uid and the parent uid of params and param maps.
This is used by persistence (loading).
Parameters
----------
newUid
new uid to use, which is converted to unicode
Returns
-------
:py:class:`Params`
same instance, but with the uid and Param.parent values
updated, including within param maps
"""
newUid = str(newUid)
self.uid = newUid
newDefaultParamMap = dict()
newParamMap = dict()
for param in self.params:
newParam = copy.copy(param)
newParam.parent = newUid
if param in self._defaultParamMap:
newDefaultParamMap[newParam] = self._defaultParamMap[param]
if param in self._paramMap:
newParamMap[newParam] = self._paramMap[param]
param.parent = newUid
self._defaultParamMap = newDefaultParamMap
self._paramMap = newParamMap
return self