CrossValidation with Kernel and LibSVM uterly broken

[vigsterkr]

import pandas as pd
import numpy as np
from shogun import BinaryLabels
from shogun import CrossValidation
from shogun import ROCEvaluation, PRCEvaluation, F1Measure
from shogun import RealFeatures, CrossValidationSplitting, LibSVM, LibLinear
from shogun import LinearKernel

def evaluate(classifier, labels, features, metric, split):
    cross=CrossValidation(classifier, features, labels, split, metric)
    result=cross.evaluate()
    return CrossValidationResult.obtain_from_generic(result)

def get_labels_and_features(df, feature_type):
    labels = BinaryLabels(np.array(df.iloc[:, 0]))
    features = feature_type(np.array(df.iloc[:, 1:]))
    return labels, features

real_data = pd.read_csv("C_elegans_acc_gc.csv", header=None)
cv_folds = 5
real_labels, real_features = get_labels_and_features(real_data, RealFeatures)
splits = CrossValidationSplitting(real_labels, cv_folds)

c = LibSVM()
c.set_C(1.0, 1.0)
c.set_batch_computation_enabled(True)
c.set_epsilon(1e-5)
c.set_linadd_enabled(True)
k = LinearKernel()
c.set_kernel(k)
m = ROCEvaluation()
r = evaluate(c, real_labels, real_features, m, splits)

output

SystemError: [ERROR] In file /tmp/shogun-20180130-88267-157zdg8/shogun-6.1.3/src/shogun/kernel/Kernel.h line 210: CustomKernel::kernel(): index out of Range: idx_a=1/1760 idx_b=1689/2

[stale[bot]]

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