Import make_blobs from scikit-learn
I am getting next Warning:
D:ProgrammingPythonMLvenvlibsite-packagessklearnutilsdeprecation.py:77: DeprecationWarning: Function make_blobs is deprecated; Please import make_blobs directly from scikit-learn
warnings.warn(msg, category=DeprecationWarning)
even with this
from sklearn.datasets.samples_generator import make_blobs
And my simple code
# generate dataset
X, y = mglearn.datasets.make_forge()
# plot dataset
mglearn.discrete_scatter(X[:, 0], X[:, 1], y)
plt.legend(["Class 0", "Class 1"], loc=4)
plt.xlabel("First feature")
plt.ylabel("Second feature")
print("X.shape: ".format(X.shape))
plt.show()
Function make_forge()
def make_forge():
# a carefully hand-designed dataset lol
X, y = make_blobs(centers=2, random_state=4, n_samples=30)
y[np.array([7, 27])] = 0
mask = np.ones(len(X), dtype=np.bool)
mask[np.array([0, 1, 5, 26])] = 0
X, y = X[mask], y[mask]
return X, y
Well, in make_blobs.py
I found next thing
@deprecated("Please import make_blobs directly from scikit-learn")
def make_blobs(n_samples=100, n_features=2, centers=2, cluster_std=1.0,
center_box=(-10.0, 10.0), shuffle=True, random_state=None):
Yes, I know that my code will succesfully compile even with this warning but I want to know why I`m getting this and why this is deprecated. Thanks for help
python scikit-learn
add a comment |
I am getting next Warning:
D:ProgrammingPythonMLvenvlibsite-packagessklearnutilsdeprecation.py:77: DeprecationWarning: Function make_blobs is deprecated; Please import make_blobs directly from scikit-learn
warnings.warn(msg, category=DeprecationWarning)
even with this
from sklearn.datasets.samples_generator import make_blobs
And my simple code
# generate dataset
X, y = mglearn.datasets.make_forge()
# plot dataset
mglearn.discrete_scatter(X[:, 0], X[:, 1], y)
plt.legend(["Class 0", "Class 1"], loc=4)
plt.xlabel("First feature")
plt.ylabel("Second feature")
print("X.shape: ".format(X.shape))
plt.show()
Function make_forge()
def make_forge():
# a carefully hand-designed dataset lol
X, y = make_blobs(centers=2, random_state=4, n_samples=30)
y[np.array([7, 27])] = 0
mask = np.ones(len(X), dtype=np.bool)
mask[np.array([0, 1, 5, 26])] = 0
X, y = X[mask], y[mask]
return X, y
Well, in make_blobs.py
I found next thing
@deprecated("Please import make_blobs directly from scikit-learn")
def make_blobs(n_samples=100, n_features=2, centers=2, cluster_std=1.0,
center_box=(-10.0, 10.0), shuffle=True, random_state=None):
Yes, I know that my code will succesfully compile even with this warning but I want to know why I`m getting this and why this is deprecated. Thanks for help
python scikit-learn
add a comment |
I am getting next Warning:
D:ProgrammingPythonMLvenvlibsite-packagessklearnutilsdeprecation.py:77: DeprecationWarning: Function make_blobs is deprecated; Please import make_blobs directly from scikit-learn
warnings.warn(msg, category=DeprecationWarning)
even with this
from sklearn.datasets.samples_generator import make_blobs
And my simple code
# generate dataset
X, y = mglearn.datasets.make_forge()
# plot dataset
mglearn.discrete_scatter(X[:, 0], X[:, 1], y)
plt.legend(["Class 0", "Class 1"], loc=4)
plt.xlabel("First feature")
plt.ylabel("Second feature")
print("X.shape: ".format(X.shape))
plt.show()
Function make_forge()
def make_forge():
# a carefully hand-designed dataset lol
X, y = make_blobs(centers=2, random_state=4, n_samples=30)
y[np.array([7, 27])] = 0
mask = np.ones(len(X), dtype=np.bool)
mask[np.array([0, 1, 5, 26])] = 0
X, y = X[mask], y[mask]
return X, y
Well, in make_blobs.py
I found next thing
@deprecated("Please import make_blobs directly from scikit-learn")
def make_blobs(n_samples=100, n_features=2, centers=2, cluster_std=1.0,
center_box=(-10.0, 10.0), shuffle=True, random_state=None):
Yes, I know that my code will succesfully compile even with this warning but I want to know why I`m getting this and why this is deprecated. Thanks for help
python scikit-learn
I am getting next Warning:
D:ProgrammingPythonMLvenvlibsite-packagessklearnutilsdeprecation.py:77: DeprecationWarning: Function make_blobs is deprecated; Please import make_blobs directly from scikit-learn
warnings.warn(msg, category=DeprecationWarning)
even with this
from sklearn.datasets.samples_generator import make_blobs
And my simple code
# generate dataset
X, y = mglearn.datasets.make_forge()
# plot dataset
mglearn.discrete_scatter(X[:, 0], X[:, 1], y)
plt.legend(["Class 0", "Class 1"], loc=4)
plt.xlabel("First feature")
plt.ylabel("Second feature")
print("X.shape: ".format(X.shape))
plt.show()
Function make_forge()
def make_forge():
# a carefully hand-designed dataset lol
X, y = make_blobs(centers=2, random_state=4, n_samples=30)
y[np.array([7, 27])] = 0
mask = np.ones(len(X), dtype=np.bool)
mask[np.array([0, 1, 5, 26])] = 0
X, y = X[mask], y[mask]
return X, y
Well, in make_blobs.py
I found next thing
@deprecated("Please import make_blobs directly from scikit-learn")
def make_blobs(n_samples=100, n_features=2, centers=2, cluster_std=1.0,
center_box=(-10.0, 10.0), shuffle=True, random_state=None):
Yes, I know that my code will succesfully compile even with this warning but I want to know why I`m getting this and why this is deprecated. Thanks for help
python scikit-learn
python scikit-learn
asked Nov 11 at 7:44
Creator -3000
198
198
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Use the following to import make_blobs
that will not give you any warning.
from sklearn.datasets import make_blobs
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
add a comment |
Your Answer
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Use the following to import make_blobs
that will not give you any warning.
from sklearn.datasets import make_blobs
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
add a comment |
Use the following to import make_blobs
that will not give you any warning.
from sklearn.datasets import make_blobs
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
add a comment |
Use the following to import make_blobs
that will not give you any warning.
from sklearn.datasets import make_blobs
Use the following to import make_blobs
that will not give you any warning.
from sklearn.datasets import make_blobs
answered Nov 11 at 8:27
ask
727
727
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
add a comment |
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
Nope, that didn't help me
– Creator -3000
Nov 11 at 9:02
add a comment |
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