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FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification
What parameters are most influential to the performance of the fastxml algorithm. Any advice will be very helpful. Thank you.
ub16hp@UB16HP:~/ub16_prj/fastxml$ fxml.py delicious.model ../../Downloads/ML_from_napkinXML/DeliciousLarge/deliciousLarge_train.txt --standard-dataset --verbose train --iters 5 --trees 20 --label-weight propensity --alpha 1e-4 --leaf-classifiers --no-remap-labels 10000 docs encoded 20000 docs encoded 30000 docs encoded 40000 docs encoded 50000...
Hello, first thank you for this implementation. When i call Trainer.fit() with n_jobs greater than one the following error is logged: ```Traceback (most recent call last): File "", line 1,...
While trying to run fxml.py, it is giving error : 1. fastxml not found.This got resolved by moving fxml outside bin but after that other error popped-up 2. inferencer module...
Hi I'm using Python3.6.5 on Ubuntu 18.04. I'm able to train a classifier using: ``` trainer = Trainer(n_trees = 18) trainer.fit(X_train_list, y_train) trainer.save('fastxml.trained') ``` X_train_list above is a list of...
Hi, when running the simple case in Python and creating the Inferencer, I get an error in read_row saying: 'utf-8' codec can't decode byte 0xd5 in position 5: invalid continuation...
* 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](http://manikvarma.org/downloads/XC/XMLRepository.html), I run the command `fxml.py...
when I import the inferencer.pyx, it is wrong? How can I solve it? Thanks!

Hi, Looking forward to using FastXML. This is not quite a bug, but it might be worth handling? Just thought I'd report it in case anyone else comes across it....