I have uploaded a CSV data. However, I am trying to train my model its failing with the following error:
Creating job… OK (ID: 913378)
Copying features from processing blocks…
Copying features from DSP block…
Copying features from DSP block OK
Copying features from processing blocks OK
Training model
Job started
scaler scale [1.48110006e+00 3.74299998e+00 4.30999763e-01 1.32083512e+00
1.46117330e+00 4.06674475e-01 4.81175189e-02 9.66699954e-01
4.60000006e-01 1.49700000e+00 1.03141760e+00 3.91388033e-01
7.34668212e-02 2.61071917e-02 3.72599968e-01 4.37000006e-01
2.52000095e-01 2.99538970e-01 3.17583681e-02 3.47584045e-02
1.61064271e-02 1.92142025e+01 8.64000028e+00 2.93630004e+01
2.06302188e+01 8.04713146e+00 5.26187565e-02 3.10854912e-02
6.25231773e+01 7.33550035e+01 4.22860106e+01 5.02607119e+01
5.33549495e+00 3.49020810e-02 1.62054302e-02 1.73888608e+02
8.27645026e+01 2.69297480e+02 1.85524278e+02 7.03899296e+01
7.35321631e-02 2.60436532e-02] mean [ 1.77010002e+01 1.50070000e+01 1.92290001e+01 1.78641510e+01
1.79399991e+00 -4.44621112e-01 -1.29245222e+00 2.12329996e+00
4.60000008e-01 3.49099994e+00 2.45078903e+00 1.21412256e+00
-4.16367695e-01 -1.52677643e+00 2.73150003e+00 4.37000006e-01
4.75999999e+00 3.21877682e+00 1.68799180e+00 -3.49510863e-01
-1.53089923e+00 4.05012016e+01 8.64000034e+00 6.64699993e+01
4.67936392e+01 2.32585821e+01 -4.14827749e-01 -1.53487587e+00
4.58315872e+02 7.33550034e+01 7.98734985e+02 5.40069611e+02
2.83214127e+02 -3.49353179e-01 -1.53089333e+00 3.81903503e+02
8.27645035e+01 6.27882492e+02 4.40799637e+02 2.18360558e+02
-4.16290730e-01 -1.52680314e+00] var [2.19365740e+00 1.40100489e+01 1.85760796e-01 1.74460542e+00
2.13502741e+00 1.65384129e-01 2.31529563e-03 9.34508801e-01
2.11600006e-01 2.24100900e+00 1.06382227e+00 1.53184593e-01
5.39737381e-03 6.81585458e-04 1.38830736e-01 1.90969005e-01
6.35040477e-02 8.97235945e-02 1.00859394e-03 1.20814668e-03
2.59416993e-04 3.69185577e+02 7.46496048e+01 8.62185791e+02
4.25605927e+02 6.47563248e+01 2.76873354e-03 9.66307765e-04
3.90914771e+03 5.38095654e+03 1.78810669e+03 2.52613916e+03
2.84675064e+01 1.21815526e-03 2.62615969e-04 3.02372480e+04
6.84996289e+03 7.25211328e+04 3.44192578e+04 4.95474219e+03
5.40697901e-03 6.78271870e-04]
Traceback (most recent call last):
File “/home/train.py”, line 104, in
trained_clusters = calculate_cluster_and_radius(X_train)
File “/home/train.py”, line 70, in calculate_cluster_and_radius
kmeans.fit(X_train)
File “/usr/local/lib/python3.6/dist-packages/sklearn/cluster/k_means_.py”, line 969, in fit
return_n_iter=True)
File “/usr/local/lib/python3.6/dist-packages/sklearn/cluster/k_means_.py”, line 313, in k_means
_num_samples(X), n_clusters))
ValueError: n_samples=1 should be >= n_clusters=32
Application exited with code 1 (Error)
Job failed (see above)