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… and 3) refactor & documentation.
chihming
reviewed
Nov 7, 2017
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| // vertex vector, context vector, vertex, context, dimension, negative samples, alpha | ||
| void UpdateVertex(vector< vector<double> >&, vector< vector<double> >&, long, long, int, int, double); | ||
| void UpdateContext(vector< vector<double> >&, vector< vector<double> >&, long, long, int, int, double); |
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not used in the program?
chihming
reviewed
Nov 7, 2017
ICE/ICE.cpp
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| vvnet.UpdatePair(w_vertex, w_context, v1, v2, dim, negative_samples, _alpha); | ||
| } | ||
| else{ | ||
| if (v1 >= vocab_count){ |
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if (v1 >= vocab_count)
what's the function of this condition? (you wanna sample a node with an offset vocab_count? if yes, I think we can use "v1+vocab_count" instead)
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so now we change the default version to "train stage 1 and then to train stage 2" ? or we'll have an option to do this? |
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Unified training method, as oppose to the 2-stage training method, can be achieved via provide the complete ICE network to the 1st stage of the latter. |
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Added 1) weighted option: '-w' default=0, 0 uses binary weight and 1 uses real weights
2) Save ET and TT of ICE separately: Allows to save the full ICE network or its ET and TT subnetwork.
3) Refactor & documentation: Put codes into functions and added comments.
Program tested on sample code (unweighted) and self-defined weighted matrix.