code stringlengths 3 6.57k |
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analyze_regression_exc(args, test_data, cortical_result, dist_results) |
range(2) |
range(4) |
range(4) |
range(n_states) |
enumerate(samples) |
np.concatenate((grid_dists[s_idxs].reshape((-1,1) |
reshape((-1,1) |
sm.add_constant(x_cat) |
range(2) |
run_regression(x_cat,y,grid_dists) |
append(p_val) |
append(t_val) |
append(param) |
append(bse) |
run_regression(x_cat,y,grid_dists) |
p_vals.append(p_val) |
t_vals.append(t_val) |
params.append(param) |
bses.append(bse) |
states.append(state) |
removing (0,0) |
and (3,3) |
enumerate(samples) |
if ((0 not in sample) |
np.concatenate((grid_dists[s_idxs].reshape((-1,1) |
reshape((-1,1) |
sm.add_constant(x_cat) |
range(2) |
run_regression(x_cat,y,grid_dists) |
append(p_val) |
append(t_val) |
append(param) |
append(bse) |
run_regression(x_cat,y,grid_dists) |
p_vals.append(p_val) |
t_vals.append(t_val) |
params.append(param) |
bses.append(bse) |
states.append(16) |
removing (0,0) |
and (3,3) |
and (0.3) |
enumerate(samples) |
if ((0 not in sample) |
np.concatenate((grid_dists[s_idxs].reshape((-1,1) |
reshape((-1,1) |
sm.add_constant(x_cat) |
range(2) |
run_regression(x_cat,y,grid_dists) |
append(p_val) |
append(t_val) |
append(param) |
append(bse) |
run_regression(x_cat,y,grid_dists) |
p_vals.append(p_val) |
t_vals.append(t_val) |
params.append(param) |
bses.append(bse) |
states.append(17) |
np.array(states) |
np.array(p_vals) |
np.array(t_vals) |
np.array(params) |
np.array(bses) |
analyze_test_seq(args, test_data, cortical_result, dist_results) |
sys.path.append("..") |
test_data.loc2idx.items() |
np.asarray(analyze_correct) |
squeeze() |
First (axis is at t=0) |
context0 (xaxis) |
enumerate(analyze_loader) |
ctx.cpu() |
numpy() |
squeeze() |
ctx0_g0.append(acc) |
len(all_perms) |
ctx0_g1.append(acc) |
ctx0_g2.append(acc) |
ctx0_g3.append(acc) |
ctx1_g0.append(acc) |
ctx1_g1.append(acc) |
ctx1_g2.append(acc) |
ctx1_g3.append(acc) |
np.mean(ctx0_g0) |
np.mean(ctx0_g1) |
np.mean(ctx0_g2) |
np.mean(ctx0_g3) |
np.mean(ctx1_g0) |
np.mean(ctx1_g1) |
np.mean(ctx1_g2) |
np.mean(ctx1_g3) |
print('Accuracy at t=%s (face%s) |
print('Accuracy at t=%s (face%s) |
symbol_prompt() |
dev_5_vwap_config_map.get("exchange") |
EXAMPLE_PAIRS.get(exchange) |
str2bool(value: str) |
str(value) |
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