From 60aa0d3fdd42d7489cc69acbb54c59d7c249ea34 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=89tienne=20Simon?= Date: Tue, 5 May 2015 23:03:13 -0400 Subject: Adapt Alexandre's model to the new interface --- config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) (limited to 'config') diff --git a/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py b/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py index 91ad71c..5642f27 100644 --- a/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py +++ b/config/dest_simple_mlp_tgtcls_1_cswdtx_alexandre.py @@ -9,11 +9,11 @@ n_end_pts = 5 n_valid = 1000 -with open(data.DATA_PATH + "/arrival-clusters.pkl") as f: tgtcls = cPickle.load(f) +with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f) dim_embeddings = [ - ('origin_call', data.n_train_clients+1, 10), - ('origin_stand', data.n_stands+1, 10), + ('origin_call', data.origin_call_train_size, 10), + ('origin_stand', data.stands_size, 10), ('week_of_year', 52, 10), ('day_of_week', 7, 10), ('qhour_of_day', 24 * 4, 10), @@ -28,3 +28,5 @@ dim_output = tgtcls.shape[0] learning_rate = 0.01 momentum = 0.9 batch_size = 200 + +valid_set = 'cuts/test_times_0' -- cgit v1.2.3