Hi, here is what I got when I tired to install the sklearn.
Thanks
Paul
ERROR: sklearn.gaussian_process.tests.test_gaussian_process.test_2d
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 64, in test_2d
gp.fit(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 338, in fit
self._arg_max_reduced_likelihood_function()
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 730, in _arg_max_reduced_likelihood_function
iprint=0)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 177, in fmin_cobyla
**opts)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 244, in _minimize_cobyla
f = c['fun'](x0, *c['args'])
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 707, in <lambda>
log10t[i] - np.log10(self.thetaL[0, i]))
IndexError: index 1 is out of bounds for axis 0 with size 1
======================================================================
ERROR: sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 94, in test_2d_2d
gp.fit(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 338, in fit
self._arg_max_reduced_likelihood_function()
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 730, in _arg_max_reduced_likelihood_function
iprint=0)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 177, in fmin_cobyla
**opts)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 244, in _minimize_cobyla
f = c['fun'](x0, *c['args'])
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 707, in <lambda>
log10t[i] - np.log10(self.thetaL[0, i]))
IndexError: index 1 is out of bounds for axis 0 with size 1
======================================================================
ERROR:
sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 114, in test_more_builtin_correlation_models
test_2d(regr='constant', corr=corr, random_start=random_start)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 64, in test_2d
gp.fit(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 338, in fit
self._arg_max_reduced_likelihood_function()
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 730, in _arg_max_reduced_likelihood_function
iprint=0)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 177, in fmin_cobyla
**opts)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 244, in _minimize_cobyla
f = c['fun'](x0, *c['args'])
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 707, in <lambda>
log10t[i] - np.log10(self.thetaL[0, i]))
IndexError: index 1 is out of bounds for axis 0 with size 1
======================================================================
ERROR:
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 123, in test_ordinary_kriging
test_2d(regr='linear', beta0=[0., 0.5, 0.5])
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 64, in test_2d
gp.fit(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 338, in fit
self._arg_max_reduced_likelihood_function()
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 730, in _arg_max_reduced_likelihood_function
iprint=0)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 177, in fmin_cobyla
**opts)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 244, in _minimize_cobyla
f = c['fun'](x0, *c['args'])
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 707, in <lambda>
log10t[i] - np.log10(self.thetaL[0, i]))
IndexError: index 1 is out of bounds for axis 0 with size 1
======================================================================
ERROR: sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/tests/test_gaussian_process.py",
line 150, in test_random_starts
verbose=False).fit(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 338, in fit
self._arg_max_reduced_likelihood_function()
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 730, in _arg_max_reduced_likelihood_function
iprint=0)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 177, in fmin_cobyla
**opts)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/optimize/cobyla.py",
line 244, in _minimize_cobyla
f = c['fun'](x0, *c['args'])
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 707, in <lambda>
log10t[i] - np.log10(self.thetaL[0, i]))
IndexError: index 1 is out of bounds for axis 0 with size 1
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('CCA', <class
'sklearn.cross_decomposition.cca_.CCA'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 350, in check_estimators_dtypes
getattr(estimator, method)(X_train)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 414, in predict
X -= self.x_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('CCA', <class
'sklearn.cross_decomposition.cca_.CCA'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 326, in check_fit_score_takes_y
func(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 440, in fit_transform
return self.fit(X, y, **fit_params).transform(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 387, in transform
Y -= self.y_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class
'sklearn.decomposition.fastica_.FastICA'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 345, in check_estimators_dtypes
estimator.fit(X_train, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/decomposition/fastica_.py",
line 519, in fit
self._fit(X, compute_sources=False)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/decomposition/fastica_.py",
line 475, in _fit
compute_sources=compute_sources, return_n_iter=True)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/decomposition/fastica_.py",
line 299, in fastica
X -= X_mean[:, np.newaxis]
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class
'sklearn.kernel_ridge.KernelRidge'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 174, in check_dtype_object
estimator.fit(X, y.astype(object))
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/kernel_ridge.py",
line 158, in fit
copy)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/linear_model/ridge.py",
line 145, in _solve_cholesky_kernel
overwrite_a=False)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/linalg/basic.py",
line 77, in solve
b1 = _asarray_validated(b, check_finite=check_finite)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/scipy/_lib/_util.py",
line 143, in _asarray_validated
raise ValueError('object arrays are not supported')
ValueError: object arrays are not supported
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class
'sklearn.linear_model.least_angle.LarsCV'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 345, in check_estimators_dtypes
estimator.fit(X_train, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/linear_model/least_angle.py",
line 999, in fit
for train, test in cv)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 659, in __call__
self.dispatch(function, args, kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 406, in dispatch
job = ImmediateApply(func, args, kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 140, in __init__
self.results = func(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/linear_model/least_angle.py",
line 853, in _lars_path_residues
X_train -= X_mean
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class
'sklearn.linear_model.least_angle.LassoLarsCV'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 345, in check_estimators_dtypes
estimator.fit(X_train, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/linear_model/least_angle.py",
line 999, in fit
for train, test in cv)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 659, in __call__
self.dispatch(function, args, kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 406, in dispatch
job = ImmediateApply(func, args, kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py",
line 140, in __init__
self.results = func(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/linear_model/least_angle.py",
line 853, in _lars_path_residues
X_train -= X_mean
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class
'sklearn.preprocessing.data.Normalizer'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 350, in check_estimators_dtypes
getattr(estimator, method)(X_train)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/preprocessing/data.py",
line 689, in transform
return normalize(X, norm=self.norm, axis=1, copy=copy)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/preprocessing/data.py",
line 617, in normalize
norms = row_norms(X)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/extmath.py",
line 71, in row_norms
np.sqrt(norms, norms)
TypeError: ufunc 'sqrt' output (typecode 'd') could not be coerced to provided
output parameter (typecode 'l') according to the casting rule ''same_kind''
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical',
<class 'sklearn.cross_decomposition.pls_.PLSCanonical'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 350, in check_estimators_dtypes
getattr(estimator, method)(X_train)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 414, in predict
X -= self.x_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical',
<class 'sklearn.cross_decomposition.pls_.PLSCanonical'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 326, in check_fit_score_takes_y
func(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 440, in fit_transform
return self.fit(X, y, **fit_params).transform(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 387, in transform
Y -= self.y_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('PLSRegression',
<class 'sklearn.cross_decomposition.pls_.PLSRegression'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 350, in check_estimators_dtypes
getattr(estimator, method)(X_train)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 414, in predict
X -= self.x_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_non_meta_estimators('PLSRegression',
<class 'sklearn.cross_decomposition.pls_.PLSRegression'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/testing.py",
line 300, in wrapper
return fn(*args, **kwargs)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 326, in check_fit_score_takes_y
func(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 440, in fit_transform
return self.fit(X, y, **fit_params).transform(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 387, in transform
Y -= self.y_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_transformers('CCA', <class
'sklearn.cross_decomposition.cca_.CCA'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 188, in check_transformer
_check_transformer(name, Transformer, X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 238, in _check_transformer
X_pred = transformer.fit_transform(X, y=y_)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 440, in fit_transform
return self.fit(X, y, **fit_params).transform(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 387, in transform
Y -= self.y_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_transformers('PLSCanonical', <class
'sklearn.cross_decomposition.pls_.PLSCanonical'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 188, in check_transformer
_check_transformer(name, Transformer, X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 238, in _check_transformer
X_pred = transformer.fit_transform(X, y=y_)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 440, in fit_transform
return self.fit(X, y, **fit_params).transform(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 387, in transform
Y -= self.y_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
======================================================================
ERROR: sklearn.tests.test_common.test_transformers('PLSRegression', <class
'sklearn.cross_decomposition.pls_.PLSRegression'>)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/nose/case.py",
line 197, in runTest
self.test(*self.arg)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 188, in check_transformer
_check_transformer(name, Transformer, X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/utils/estimator_checks.py",
line 238, in _check_transformer
X_pred = transformer.fit_transform(X, y=y_)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 440, in fit_transform
return self.fit(X, y, **fit_params).transform(X, y)
File
"/Users/paul/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/sklearn/cross_decomposition/pls_.py",
line 387, in transform
Y -= self.y_mean_
TypeError: Cannot cast ufunc subtract output from dtype('float64') to
dtype('int64') with casting rule 'same_kind'
----------------------------------------------------------------------
Ran 4092 tests in 118.090s
FAILED (SKIP=18, errors=19)
PauldeMacBook-Pro:~ paul$
------------------------------------------------------------------------------
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