CODEWITHSUNDEEP
pythonscikit-learn
zer02
zer02

Reputation: 4021

RandomForest Weights error no attribute copy

I was trying out the random forest classifier algorithm and when using weights while fitting the trees, I get this error:

rf = RandomForestClassifier(n_estimators=10, n_jobs=1)
rf.fit(train, target, my_weights)

CONSOLE:

line 86, in _parallel_build_trees

curr_sample_weight = sample_weight.copy()
AttributeError: 'list' object has no attribute 'copy'

What am I doing wrong?

    dataset = genfromtxt(open('data/training_edited.csv','r'), delimiter=',',dtype=float)[1:]
    print("Reading training.csv")
    target = [x[32] for x in dataset]
    my_weights = [x[31] for x in dataset]
    train = [x[1:31] for x in dataset]

Upvotes: 1

Views: 479

Answers (2)

eickenberg
eickenberg

Reputation: 14377

You need to provide np.ndarrays as input, at least for sample_weight, but ideally for all input:

Change what you have to

import numpy as np
target = np.array([x[32] for x in dataset])  # dataset[:, 32]
my_weights = np.array([x[31] for x in dataset])  # dataset[:, 31]
train = np.array([x[1:31] for x in dataset])  # dataset[:, 1:31]

This can probably even be done more elegantly, since dataset will itself (probably) already be an array (if file homogeneous), see commented code as suggestions.

Upvotes: 4

sundar nataraj
sundar nataraj

Reputation: 8702

instead of curr_sample_weight = sample_weight.copy()

curr_sample_weight = sample_weight[:]

to copy list try above line

use copy.copy():

import copy
curr_sample_weight = copy.copy(sample_weight)

Upvotes: -2

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