code stringlengths 3 6.57k |
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np.zeros([hiddens_ctx.shape[0], hiddens_ctx.shape[1], n_components]) |
np.zeros([avg_hidden.shape[0], avg_hidden.shape[1], n_components]) |
np.zeros([avg_hidden_ctx.shape[0], avg_hidden_ctx.shape[1], n_components]) |
np.zeros([hiddens_inc_c.shape[0], hiddens_inc_c.shape[1], n_components]) |
range(hiddens_ctx.shape[0]) |
pca.fit_transform(hiddens_ctx[h,:,:]) |
pca.fit_transform(avg_hidden[h,:,:]) |
pca.fit_transform(avg_hidden_ctx[h,:,:]) |
pca.fit_transform(hiddens_inc_c[h,:,:]) |
pca.fit_transform(hiddens_ctx) |
pca.fit_transform(avg_hidden) |
pca.fit_transform(avg_hidden_ctx) |
pca.fit_transform(hiddens_inc_c) |
MDS(n_components=n_components) |
mds.fit_transform(embeddings) |
mds.fit_transform(hiddens_ctx) |
mds.fit_transform(avg_hidden) |
mds.fit_transform(avg_hidden_ctx) |
mds.fit_transform(hiddens_inc_c) |
TSNE(n_components=n_components) |
tsne.fit_transform(embeddings) |
tsne.fit_transform(hiddens_ctx) |
tsne.fit_transform(avg_hidden) |
tsne.fit_transform(avg_hidden_ctx) |
tsne.fit_transform(hiddens_inc_c) |
hist_data(args, test_data, cortical_result, dist_results) |
calc_ratio(args, test_data, cortical_result, dist_results) |
np.mean(cong_embed_dists) |
np.mean(incong_embed_dists) |
np.mean(cong_hidd_dists, axis=0) |
np.mean(incong_hidd_dists, axis=0) |
extract_hidd_dist(dist_results) |
analyze_ttest(args, test_data, cortical_result, dist_results) |
np.zeros([2]) |
np.zeros([2]) |
range(2) |
ttest_ind(cong_hidd_dists[:,h], incong_hidd_dists[:,h]) |
analyze_corr(args, test_data, cortical_result, dist_results) |
pearsonr(grid_dists, embed_dists) |
np.zeros([2]) |
np.zeros([2]) |
np.zeros([2]) |
np.zeros([2]) |
np.zeros([2]) |
np.zeros([2]) |
range(2) |
pearsonr(grid_dists, hidd_dists[:,h]) |
pearsonr(grid_dists, hidd_dists) |
analyze_regression(args, test_data, cortical_result, dist_results) |
np.concatenate((grid_dists.reshape((-1,1) |
binary_phi.reshape((-1,1) |
np.concatenate((grid_dists.reshape((-1,1) |
phi.reshape((-1,1) |
sm.add_constant(x_cat) |
range(2) |
range(4) |
np.zeros(hidd_dists.shape) |
np.zeros(hidd_dists.shape) |
range(2) |
run_regression(x_cat,y[:,h],grid_dists) |
run_regression(x_cat,y,grid_dists) |
sm.add_constant(x_con) |
range(2) |
range(4) |
np.zeros(hidd_dists.shape) |
np.zeros(hidd_dists.shape) |
range(2) |
run_regression(x_con,y[:,h],grid_dists) |
run_regression(x_con,y,grid_dists) |
run_regression(x,y,grid_dist) |
sm.OLS(y,x) |
fit() |
analyze_regression_1D(args, test_data, cortical_result, dist_results) |
np.concatenate((hidd_dists_ctx0, hidd_dists_ctx1) |
np.concatenate((grid_1ds_ctx0, grid_1ds_ctx1) |
np.concatenate((grid_dists, grid_dists) |
np.concatenate((binary_phi, binary_phi) |
np.concatenate((phi, phi) |
np.concatenate((grid_dists_ctx.reshape((-1,1) |
grid_1ds_ctx.reshape((-1,1) |
binary_phi_ctx.reshape((-1,1) |
np.concatenate((grid_dists_ctx.reshape((-1,1) |
grid_1ds_ctx.reshape((-1,1) |
phi_ctx.reshape((-1,1) |
sm.add_constant(x_cat) |
range(2) |
range(6) |
np.zeros(hidd_dists_ctx.shape) |
np.zeros(hidd_dists_ctx.shape) |
range(2) |
run_regression(x_cat,y[:,h],grid_dists_ctx) |
run_regression(x_cat,y,grid_dists_ctx) |
sm.add_constant(x_con) |
range(2) |
range(4) |
np.zeros(hidd_dists_ctx.shape) |
np.zeros(hidd_dists_ctx.shape) |
range(2) |
run_regression(x_con,y[:,h],grid_dists_ctx) |
run_regression(x_con,y,grid_dists_ctx) |
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