Import make_blobs from scikit-learn











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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










share|improve this question


























    up vote
    0
    down vote

    favorite












    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










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      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










      share|improve this question













      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






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      asked Nov 11 at 7:44









      Creator -3000

      198




      198
























          1 Answer
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          Use the following to import make_blobs that will not give you any warning.



          from sklearn.datasets import make_blobs





          share|improve this answer





















          • Nope, that didn't help me
            – Creator -3000
            Nov 11 at 9:02











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          1 Answer
          1






          active

          oldest

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          active

          oldest

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          active

          oldest

          votes








          up vote
          0
          down vote













          Use the following to import make_blobs that will not give you any warning.



          from sklearn.datasets import make_blobs





          share|improve this answer





















          • Nope, that didn't help me
            – Creator -3000
            Nov 11 at 9:02















          up vote
          0
          down vote













          Use the following to import make_blobs that will not give you any warning.



          from sklearn.datasets import make_blobs





          share|improve this answer





















          • Nope, that didn't help me
            – Creator -3000
            Nov 11 at 9:02













          up vote
          0
          down vote










          up vote
          0
          down vote









          Use the following to import make_blobs that will not give you any warning.



          from sklearn.datasets import make_blobs





          share|improve this answer












          Use the following to import make_blobs that will not give you any warning.



          from sklearn.datasets import make_blobs






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 11 at 8:27









          ask

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          727












          • 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




          Nope, that didn't help me
          – Creator -3000
          Nov 11 at 9:02


















           

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