From f6d2c6fc47f93b158b70b5c0c9a45324041ca4d5 Mon Sep 17 00:00:00 2001 From: Alex Auvolat Date: Thu, 21 May 2015 11:01:00 -0400 Subject: Fix new models. --- config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py | 7 ++++--- config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py | 7 ++++--- config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py | 7 ++++--- 3 files changed, 12 insertions(+), 9 deletions(-) (limited to 'config') diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py index 8adb6e7..4432b5d 100644 --- a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py +++ b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py @@ -1,17 +1,18 @@ +import os import cPickle -import model.joint_simple_mlp_tgtcls as model - from blocks.initialization import IsotropicGaussian, Constant import data +from model.joint_simple_mlp_tgtcls import Model, Stream + n_begin_end_pts = 10 # how many points we consider at the beginning and end of the known trajectory n_end_pts = 10 n_valid = 1000 -with open("%s/arrival-clusters.pkl" % data.path) as f: +with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: dest_tgtcls = cPickle.load(f) # generate target classes for time prediction as a Fibonacci sequence diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py index 02c8bd8..ff8e587 100644 --- a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py +++ b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py @@ -1,17 +1,18 @@ +import os import cPickle -import model.joint_simple_mlp_tgtcls as model - from blocks.initialization import IsotropicGaussian, Constant import data +from model.joint_simple_mlp_tgtcls import Model, Stream + n_begin_end_pts = 10 # how many points we consider at the beginning and end of the known trajectory n_end_pts = 10 n_valid = 1000 -with open("%s/arrival-clusters.pkl" % data.path) as f: +with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: dest_tgtcls = cPickle.load(f) # generate target classes for time prediction as a Fibonacci sequence diff --git a/config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py b/config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py index 995f858..10960ad 100644 --- a/config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py +++ b/config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py @@ -1,17 +1,18 @@ +import os import cPickle -import model.joint_simple_mlp_tgtcls as model - from blocks.initialization import IsotropicGaussian, Constant import data +from model.joint_simple_mlp_tgtcls import Model, Stream + n_begin_end_pts = 7 # how many points we consider at the beginning and end of the known trajectory n_end_pts = 7 n_valid = 1000 -with open("%s/arrival-clusters.pkl" % data.path) as f: +with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: dest_tgtcls = cPickle.load(f) # generate target classes for time prediction as a Fibonacci sequence -- cgit v1.2.3