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author | Jake Hofman <jhofman@gmail> | 2013-07-02 22:30:58 +0400 |
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committer | Jake Hofman <jhofman@gmail> | 2013-07-02 22:30:58 +0400 |
commit | 64536b4c38efba1b1b617c2036aafd7d3a356201 (patch) | |
tree | 0c2e175dac825d76f8206f77088dab61d648a449 /vowpalwabbit/mf.cc | |
parent | c2987cfc2a4154a5b057a2bbc9a39c12d0c84e32 (diff) |
switching branches
Diffstat (limited to 'vowpalwabbit/mf.cc')
-rw-r--r-- | vowpalwabbit/mf.cc | 10 |
1 files changed, 0 insertions, 10 deletions
diff --git a/vowpalwabbit/mf.cc b/vowpalwabbit/mf.cc index 8a820c7c..5320d2ed 100644 --- a/vowpalwabbit/mf.cc +++ b/vowpalwabbit/mf.cc @@ -69,8 +69,6 @@ void inline_predict(mf* data, vw* all, example* &ec) { // store namespace indices copy_array(data->indices, ec->indices); - // store namespace indices - //copy_array(data->indices, ec->indices); // add interaction terms to prediction for (vector<string>::iterator i = data->pairs.begin(); i != data->pairs.end(); i++) { @@ -127,8 +125,6 @@ void learn(void* d, example* ec) { // predict with current weights inline_predict(data, all, ec); - float err = fabs(((label_data*) ec->ld)->label - ec->final_prediction); - // force base learner to use precomputed prediction ec->precomputed_prediction = true; @@ -187,12 +183,6 @@ void learn(void* d, example* ec) { copy_array(ec->indices, data->indices); ec->precomputed_prediction = false; - - // predict with current weights - //inline_predict(data, all, ec); - float new_err = fabs(((label_data*) ec->ld)->label - ec->final_prediction); - //if (new_err > err) - // cout << "error increased after training from " << err << " to " << new_err << endl; } void finish(void* data) { |