ClimbsRocks machineJS issues

ClimbsRocks / machineJS

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

https://github.com/ClimbsRocks/auto_ml

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issues

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List index out of range

#179 ittailup opened 8 years ago
0
Windows multithreading doesn't work

#178 TalhaAsmal opened 8 years ago
0
Open Validation Indices file for pickling as binary

#177 TalhaAsmal closed 8 years ago
1
MultinomialNB fails when features have negative values

#176 sunnmy opened 8 years ago
2
Specify full path. Otherwise, machineJS fails when running with preprocessed data.

#175 sunnmy closed 8 years ago
1
Questions on hyperparameter distributions and validation percentage

#174 ClimbsRocks opened 8 years ago
0
Store validation score in file for ensemble learning

#173 kprimice opened 8 years ago
2
stop training after a single round if a model is performing very poorly

#172 ClimbsRocks opened 8 years ago
0
Error in installation guide

#171 mmajewsk opened 8 years ago
2
for the validationRound, write the score from the hyperparameter search, not the final training run

#170 ClimbsRocks closed 8 years ago
2
investigate how we handle skipping an algo

#169 ClimbsRocks closed 8 years ago
1
bump down the boost for numRounds for linear models

#168 ClimbsRocks closed 8 years ago
1
send an email out with updates

#167 ClimbsRocks opened 8 years ago
0
verify we're running RandomizedSearchCV only once for each model during the ensembler round

#166 ClimbsRocks closed 8 years ago
1
generally simplify documentation

#165 ClimbsRocks opened 8 years ago
0
update documentation to make it stupid easy to get started with

#164 ClimbsRocks opened 8 years ago
0
add in a table showing an example dataDescription for the .csv files

#163 ClimbsRocks opened 8 years ago
0
tag some of these issues as quick wins and steadily knock them out

#162 ClimbsRocks closed 8 years ago
0
new installation script

#161 ClimbsRocks closed 8 years ago
1
Blog Post Series: How to customize machineJS

#160 ClimbsRocks opened 8 years ago
0
reduce number of times we train each model

#159 ClimbsRocks closed 8 years ago
1
add in more linear models

#158 ClimbsRocks opened 8 years ago
0
set default to only use linear models for nlp

#157 ClimbsRocks opened 8 years ago
1
shut everything down if there's an error with data-formatter

#156 ClimbsRocks closed 8 years ago
1
Classifier: output proba instead of category

#155 kprimice opened 8 years ago
1
Issue after data-formatter

#154 kprimice closed 8 years ago
2
Something wrong with data formatter?

#153 TasmaniaKrama opened 8 years ago
11
Persist everything to disk so a trained instance can be loaded

#152 ClimbsRocks opened 8 years ago
1
future ideas:

#151 ClimbsRocks opened 8 years ago
0
allow custom validation splits, like numer.ai uses

#150 ClimbsRocks closed 8 years ago
1
Cannot find pySetup/utils.py

#149 eanie opened 8 years ago
20
TImeseries data?

#148 JohnnySheffield closed 8 years ago
2
link in "explaining machineJS to my parents" series

#147 ClimbsRocks opened 8 years ago
0
for debugging purposes, load in the raw csv

#146 ClimbsRocks opened 8 years ago
0
improve accuracy

#145 ClimbsRocks opened 8 years ago
1
have intentional pacing of SIGINT signals

#144 ClimbsRocks opened 8 years ago
0
verify that we properly stop training algorithms when they haven't been performing for three rounds

#143 ClimbsRocks closed 8 years ago
2
give the user the option of returning a multi-category matrix, not just a single column

#142 ClimbsRocks closed 8 years ago
2
the MLP appears to blow up huge amounts of memory during multi-category classification

#141 ClimbsRocks opened 8 years ago
0
add support for multiple categories in the output column

#140 ClimbsRocks closed 8 years ago
2
tweak search parameters

#139 ClimbsRocks opened 8 years ago
0
have amazing documentation

#138 ClimbsRocks opened 8 years ago
0
update verbiage from classifiers to estimators now that we support regression

#137 ClimbsRocks opened 8 years ago
0
packages to install in installation script

#136 ClimbsRocks closed 8 years ago
1
create installation script

#135 ClimbsRocks closed 8 years ago
1
write all trained algo's parameters to file

#134 ClimbsRocks opened 8 years ago
0
only run the MLP if the user has ^v.0.18.0 of sklearn installed

#133 ClimbsRocks closed 8 years ago
1
figure out which parameter is throwing all the warnings with MLP

#132 ClimbsRocks opened 8 years ago
0
once sklearn 0.18 is released, handle the deprecationWarnings

#131 ClimbsRocks opened 8 years ago
0
move around logic for getting the classifierList until after data-formatter has run

#130 ClimbsRocks closed 8 years ago
1