From 5b496677ea1db59a6718e5c9b2958177c76cb25f Mon Sep 17 00:00:00 2001
From: Alex Auvolat <alex.auvolat@ens.fr>
Date: Tue, 5 May 2015 10:56:21 -0400
Subject: Refactor architecture so that embedding sizes can be easily changed.

---
 config/simple_mlp_tgtcls_0.py | 25 -------------------------
 1 file changed, 25 deletions(-)
 delete mode 100644 config/simple_mlp_tgtcls_0.py

(limited to 'config/simple_mlp_tgtcls_0.py')

diff --git a/config/simple_mlp_tgtcls_0.py b/config/simple_mlp_tgtcls_0.py
deleted file mode 100644
index 91770c2..0000000
--- a/config/simple_mlp_tgtcls_0.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import cPickle
-
-import data
-
-import model.simple_mlp_tgtcls as model
-
-n_dow = 7       # number of division for dayofweek/dayofmonth/hourofday
-n_dom = 31
-n_hour = 24
-
-n_begin_end_pts = 5     # how many points we consider at the beginning and end of the known trajectory
-n_end_pts = 5
-
-n_valid = 1000
-
-with open(data.DATA_PATH + "/arrival-clusters.pkl") as f: tgtcls = cPickle.load(f)
-
-dim_embed = 10
-dim_input = n_begin_end_pts * 2 * 2 + dim_embed + dim_embed
-dim_hidden = []
-dim_output = tgtcls.shape[0]
-
-learning_rate = 0.0001
-momentum = 0.99
-batch_size = 32
-- 
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