'ro',
markersize=4)
disapproval_predicted, = plt.plot(axis_vals,
predict_disapproval,
'bo',
markersize=4)
plt.legend([disapproval_actual, approval_predicted],
["Actual", "Predicted"],
loc=2,
borderaxespad=0.)
plt.ylabel('Disapproval percentage')
axes = plt.gca()
axes.set_ylim([20, 70])
plt.show()
config_params = [
"CORPUS_NAME", "POLL_DELAY", "DAY_RANGE",
"SENTIMENT_ANALYSIS_METHOD", "TOPIC_EXTRACTION_METHOD",
"NUM_TOPICS", "REGRESSION_MODEL", "NUM_LAYERS", "YEARS"
]
plt.savefig(
os.path.join(Config.PLOT_DIR,
(Config.dump_config(config_params) + ".png")))
pickle.dump(
k_fold_scores,
open(
os.path.join(
Config.PLOT_DIR,
Config.dump_config(config_params) +
"_k_fold_scores_negmse.txt"), "wb"))
