TypeError: only size-1 arrays can be converted to Python scalars (Windows, Python 3.5) #26

nikrepp · 2018-06-29T18:57:07Z

Hello,

I run the following code with WordBatch on windows:

import wordbatch
from wordbatch.extractors import WordBag
from wordbatch.models import FTRL, FM_FTRL
import pandas as pd
import pandas as pd
import numpy as np
from sklearn.datasets import make_moons

X, y = make_moons(n_samples=10000, noise=0.7)
from sklearn.model_selection import train_test_split
X_t, X_v, y_t, y_v = train_test_split(X, y, stratify=y, test_size=0.2, random_state=8)

train_weight = np.array(pd.DataFrame(y_t).replace(1,400).replace(0,1).astype('float64'))

clf = FM_FTRL(alpha=0.5, beta=1, L1=10.0, L2=10.0, D=2 * 20, alpha_fm=0.02,
L2_fm=0.0, init_fm=0.01, weight_fm=1.0,
D_fm=2, e_noise=0.0, iters=3,
inv_link="sigmoid", threads=4
)

clf.fit(X_t, y_t, train_weight)
class_pred = clf.predict(X_v)

I get the following error:

TypeError Traceback (most recent call last)
in ()
---> 30 clf.fit(X_t, y_t, train_weight)
31 class_pred = clf.predict(X_v)

wordbatch\models\fm_ftrl.pyx in wordbatch.models.fm_ftrl.FM_FTRL.fit()

TypeError: only size-1 arrays can be converted to Python scalars

It appears only when WEIGHT is used.

Do you know possible cause?

Thanks,
Nikita

anttttti · 2018-07-19T06:40:22Z

Can you give more details?
This doesn't reproduce on Ubuntu 16.04, Python 3.6.4 |Anaconda custom (64-bit), Numpy 1.14.2 and WB 1.35. The model trains fine with this setup.

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TypeError: only size-1 arrays can be converted to Python scalars (Windows, Python 3.5) #26

TypeError: only size-1 arrays can be converted to Python scalars (Windows, Python 3.5) #26

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TypeError: only size-1 arrays can be converted to Python scalars (Windows, Python 3.5) #26

TypeError: only size-1 arrays can be converted to Python scalars (Windows, Python 3.5) #26

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