def probability(self, x, cols, given=None):
""" Predictive probability of x_1, ..., x_n given y_1, ..., y_n
Parameters
----------
x : numpy.ndarray(2,)
2-D numpy array where each row is a set of observations and each
column corresponds to a feature.
cols : list
The names of each column/feature of `x`.
given : list(tuple)
List of (name, value,) conditional contraints for the probability
Returns
-------
logps : numpy.ndarray
Examples
--------
The probability that an animal is fast and agile given that it is
bulbous.
>>> engine = Engine.load('examples/zoo.bcmodels')
>>> engine.probability(np.array([[1, 1]]), ['fast', 'agile'],
... given=[('bulbous': 1]))
"""
# TODO: make sure that given goes not caontain columns rom cols
x = du.format_query_data(x)
col_idxs = [self._converters['col2idx'][col] for col in cols]
x_cnv = du.convert_data(x, cols, self._dtypes, self._converters)
if given is not None:
given = du.convert_given(given, self._dtypes, self._converters)
return mu.probability(x_cnv, self._models, col_idxs, given=given)
def probability(self, x, cols, given=None):
""" Predictive probability of x_1, ..., x_n given y_1, ..., y_n
Parameters
----------
x : numpy.ndarray(2,)
2-D numpy array where each row is a set of observations and each
column corresponds to a feature.
cols : list
The names of each column/feature of `x`.
given : list(tuple)
List of (name, value,) conditional contraints for the probability
Returns
-------
logps : numpy.ndarray
Examples
--------
The probability that an animal is fast and agile given that it is
bulbous.
>>> engine = Engine.load('examples/zoo.bcmodels')
>>> engine.probability(np.array([[1, 1]]), ['fast', 'agile'],
... given=[('bulbous': 1]))
"""
# TODO: make sure that given goes not caontain columns rom cols
x = du.format_query_data(x)
col_idxs = [self._converters['col2idx'][col] for col in cols]
x_cnv = du.convert_data(x, cols, self._dtypes, self._converters)
if given is not None:
given = du.convert_given(given, self._dtypes, self._converters)
return mu.probability(x_cnv, self._models, col_idxs, given=given)
def test_format_query_data_should_return_2d_numpy_array_2d_array():
# 2d array
x = du.format_query_data(np.eye(2))
assert isinstance(x, np.ndarray)
assert x.shape == (
2,
2,
)
def test_format_query_data_should_return_2d_numpy_array_list_of_array():
# list of arrays
x = du.format_query_data([np.array([.2, 'string']), np.array([.1, 'x'])])
assert isinstance(x, np.ndarray)
assert x.shape == (
2,
2,
)
def test_format_query_data_should_return_2d_numpy_array_obj_array():
# single object array
x = du.format_query_data(np.array([.2, 'string']))
assert isinstance(x, np.ndarray)
assert x.shape == (
1,
2,
)
def test_format_query_data_should_return_2d_numpy_array_float_array():
# single float64 array
x = du.format_query_data(np.array([1.2, 2.1]))
assert isinstance(x, np.ndarray)
assert x.shape == (
1,
2,
)
def test_format_query_data_should_return_2d_numpy_array_list():
# single list
x = du.format_query_data([1.2, 'string'])
assert isinstance(x, np.ndarray)
assert x.shape == (
1,
2,
)
def test_format_query_data_should_return_2d_numpy_array_str():
# single string data
x = du.format_query_data('string')
assert isinstance(x, np.ndarray)
assert x.shape == (
1,
1,
)
def test_format_query_data_should_return_2d_numpy_array_float():
# single float data
x = du.format_query_data(1.2)
assert isinstance(x, np.ndarray)
assert x.shape == (
1,
1,
)
def test_format_query_data_should_return_2d_numpy_array_list_of_array():
# list of arrays
x = du.format_query_data([np.array([.2, 'string']), np.array([.1, 'x'])])
assert isinstance(x, np.ndarray)
assert x.shape == (2, 2,)
def test_format_query_data_should_return_2d_numpy_array_2d_array():
# 2d array
x = du.format_query_data(np.eye(2))
assert isinstance(x, np.ndarray)
assert x.shape == (2, 2,)
def test_format_query_data_should_return_2d_numpy_array_obj_array():
# single object array
x = du.format_query_data(np.array([.2, 'string']))
assert isinstance(x, np.ndarray)
assert x.shape == (1, 2,)
def test_format_query_data_should_return_2d_numpy_array_float_array():
# single float64 array
x = du.format_query_data(np.array([1.2, 2.1]))
assert isinstance(x, np.ndarray)
assert x.shape == (1, 2,)
def test_format_query_data_should_return_2d_numpy_array_list():
# single list
x = du.format_query_data([1.2, 'string'])
assert isinstance(x, np.ndarray)
assert x.shape == (1, 2,)
def test_format_query_data_should_return_2d_numpy_array_str():
# single string data
x = du.format_query_data('string')
assert isinstance(x, np.ndarray)
assert x.shape == (1, 1,)
def test_format_query_data_should_return_2d_numpy_array_float():
# single float data
x = du.format_query_data(1.2)
assert isinstance(x, np.ndarray)
assert x.shape == (1, 1,)