def gmrf_res(var):
print("GMRF Result {}".format(var.upper()))
fig, (ax, ax1) = newfig(1.0, subplots=2, sharex=True)
pl.plot_score(kf_scores, df.columns.values, var, ax, label="GMRF", ylabel="Mean Absolute Error")
pl.plot_r2(r2, df.columns.values, var, ax1, xlim=(0, 50), ylim=(-1.1, 1.1), ylabel="$R^2$", xlabel="Time steps (15 mins.)")
savefig('gmrf_res_{}'.format(var))
def comp(var, res1=True, res2=True, r21=True, r22=True, name=None):
print("Comparaison {}".format(var.upper()))
fig, (ax, ax1) = newfig(1.0, subplots=2, sharex=True)
if res1:
pl.plot_score(kf_scores, df.columns.values, var, ax, label="GMRF", ylabel="Mean Absolute Error")
if res2:
pl.plot_score(kf_scores_hybrid, df.columns.values, var, ax, label="HRF", color='orange', xlim=(0, 50), ylabel="Mean Absolute Error")
ax.legend(loc=0, mode="expand", ncol=2, frameon=False)
if r21:
pl.plot_r2(r2, df.columns.values, var, ax1, xlim=(0, 50), ylim=(-1.1, 1.1), ylabel="$R^2$", xlabel="Time steps (15 mins.)")
if r22:
pl.plot_r2(r2_hybrid, df.columns.values, var, ax1, color='orange', xlim=(0, 50), ylim=(-1.1, 1.1), ylabel="$R^2$", xlabel="Time steps (15 mins.)")
if name:
savefig(name)
else:
savefig('comp_{}'.format(var))
