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updated niche/functional

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tekhnofiend
2008-01-15 00:05:51 +00:00
parent c13818a92b
commit 76130c8798
1 changed files with 1 additions and 54 deletions
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fastlib/u/niche/functional/test_smooth_funcica.m
+1 -54
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@@ -1,9 +1,5 @@
function [h_Y1_train_set, h_Y2_train_set, h_Y_train_set, h_Y1_test_set, ...
h_Y2_test_set, h_Y_test_set] = call_funcica(data, t, s);
h_Y2_test_set, h_Y_test_set] = test_smooth_funcica(data, t, s);
N = size(data, 2);
p = 30; % hardcoded for now
@@ -105,52 +101,3 @@ for lambda_i = 1:5
end
end
%{
inv_pc_coef = inv(pc_coef);
train_pc_score = inv_pc_coef * (myfd_data_train_coef - ...
repmat(mean_coef, 1, cut));
% does this make sense? I think we should instead subtract the
% mean of the test data - the point is just to center the data
test_pc_score = inv_pc_coef * (myfd_data_test_coef - ...
repmat(mean_coef, 1, N - cut));
train_sub_pc_score = train_pc_score(1:2,:);
test_sub_pc_score = test_pc_score(1:2,:);
train_ic_score = W * train_sub_pc_score;
test_ic_score = W * test_sub_pc_score;
train_entropies1(i) = ...
get_vasicek_entropy_estimate_std(train_ic_score(1,:));
train_entropies2(i) = ...
get_vasicek_entropy_estimate_std(train_ic_score(2,:));
train_joint_entropies(i) = ...
train_entropies1(i) + train_entropies2(i);
test_entropies1(i) = ...
get_vasicek_entropy_estimate_std(test_ic_score(1,:));
test_entropies2(i) = ...
get_vasicek_entropy_estimate_std(test_ic_score(2,:));
% check magnitudes of projection against pc's
magnitude(1) = ...
dot(train_sub_pc_score(1,:), train_sub_pc_score(1,:));
magnitude(2) = ...
dot(train_sub_pc_score(2,:), train_sub_pc_score(2,:));
magnitude
test_joint_entropies(i) = ...
test_entropies1(i) + test_entropies2(i);
%}