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authorAndreas Maunz <andreas@maunz.de>2012-04-13 09:33:33 +0200
committerAndreas Maunz <andreas@maunz.de>2012-04-13 09:33:33 +0200
commitdd02e2059261ce8433769528de8cadfebe964ba1 (patch)
tree8fcd634916408948f87debdc7f577e3c63e867c1
parent1f4094b712d24c1d7e19c4c39ad68df8fec48531 (diff)
URI encoding of prediction feature removed again
-rw-r--r--README.md3
-rw-r--r--fs.rb2
2 files changed, 2 insertions, 3 deletions
diff --git a/README.md b/README.md
index ea25a8f..df16dce 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,7 @@ OpenTox Algorithm
- subgraph descriptor calculation (fminer)
- physico-chemical descriptor calculation (pc) for more than 300 descriptors
- feature selection (fs) using recursive feature elimination (rfe)
+- See http://opentox-ruby.maunz.de for high-level workflow documentation
REST operations
---------------
@@ -83,8 +84,6 @@ Synopsis
- min_train_performance. The minimum training performance for "local\_svm\_classification" (Accuracy) and "local\_svm\_regression" (R-squared). Numeric value in [0,1].
- del_missing: one of true, false
-See http://www.maunz.de/wordpress/opentox/2011/lazar-models-and-how-to-trigger-them for a graphical overview.
-
Supported MIME formats
----------------------
diff --git a/fs.rb b/fs.rb
index 7077642..3ac2c02 100644
--- a/fs.rb
+++ b/fs.rb
@@ -63,7 +63,7 @@ post '/fs/rfe/?' do
ds.puts(ds_csv)
ds.flush()
- prediction_feature = URI.escape(params[:prediction_feature].split('/').last) # get col name
+ prediction_feature = params[:prediction_feature].split('/').last # get col name
fds_features = OpenTox::Dataset.new(params[:feature_dataset_uri]).load_features
fds_csv=OpenTox::RestClientWrapper.get( params[:feature_dataset_uri], {:accept => "text/csv"})