__init__() got an unexpected keyword argument 'n_iter'

[731935354]

• OS: Ubuntu 16.04.5 LTS
• python: 3.7.1

Today when I tried to train a model based on a standard dataset(Wiki10-31k) downloaded from this website, I run the command
fxml.py wiki.model wiki10_train.txt --standard-dataset --verbose train --iters 5 --trees 20 --label-weight propensity --alpha 1e-4 --leaf-classifiers --no-remap-labels
and got error of
__init__() got an unexpected keyword argument 'n_iter' for many times.
I also tried to install fastxml using pip install git+https://github.com/Refefer/fastxml.git and run through python wrapper. However I got the same error.
I will really appreciate it if you can give me some advice on it.

Below are the top lines of standard outputs:
10000 docs encoded
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Process Process-6:
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Traceback (most recent call last):
File "/opt/conda/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
self.run()
File "/opt/conda/lib/python3.7/multiprocessing/process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/proc.py", line 37, in _remote_call
results = f(*args)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 322, in grow_root
node = self.grow_tree(X, y, idxs, rs, splitter)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 358, in grow_tree
lNode = self.grow_tree(X, y, l_idx, rs, splitter)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 358, in grow_tree
lNode = self.grow_tree(X, y, l_idx, rs, splitter)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 358, in grow_tree
lNode = self.grow_tree(X, y, l_idx, rs, splitter)
[Previous line repeated 2 more times]
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 336, in grow_tree
l_idx, r_idx, (clf, clff) = self.split_train(X, idxs, splitter, rs)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 317, in split_train
clf, clf_fast = self.train_clf(X, [l_idx, r_idx], rs)
File "/opt/conda/lib/python3.7/site-packages/fastxml-2.0.0-py3.7-linux-x86_64.egg/fastxml/trainer.py", line 222, in train_clf
random_state=rs)
TypeError: init() got an unexpected keyword argument 'n_iter'

[Refefer]

Interesting. This might be due to us using an older version of scikit-learn.

Can you run pip freeze and say which version you're using?

[siddu9501]

Same error here too. Probably due to a newer version of sklearn.
python 3.6.8
pip freeze as below.

Cython==0.29.13
fastxml==2.0.0
future==0.17.1
joblib==0.13.2
numpy==1.17.2
scikit-learn==0.21.3
scipy==1.3.1

[Refefer]

OK. I'll see if I can put out a patch tonight; stay tuned.