- Working on search at Shop App
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Processing simulator output at Environment Canada
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Studying mathematics and philosophy at UBC
active learning in python
License: MIT License
Processing simulator output at Environment Canada
Studying mathematics and philosophy at UBC
The following script exits with IndexError
:
import numpy as np
from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
from active_learning.active_learning import ActiveLearner
X, y = load_iris(return_X_y=True)
n_queries = 100
X_labeled, y_labeled = X[[0, 50, 100]], y[[0, 50, 100]]
estimators = [LogisticRegression(), LogisticRegression()]
for estimator in estimators:
estimator.fit(X_labeled, y_labeled)
learner = ActiveLearner(strategy='vote_entropy')
for _ in range(n_queries):
query_idx = learner.rank(estimators, X, num_queries=1)
X_labeled = np.concatenate((X_labeled, X[query_idx]), axis=0)
y_labeled = np.concatenate((y_labeled, y[query_idx]), axis=0)
estimator.fit(X_labeled, y_labeled)
Changing line 109 in active_learning.py
from
y_out = map(int, model.predict(X_unlabeled))
to
y_out = model.predict(X_unlabeled)
solved the problem for me.
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