snapshot...

modules/icing/util.py

@@ -1581,7 +1581,8 @@ def run_icing_predict_image_1x1(clvrx_dir='/Users/tomrink/data/clavrx/RadC/', ou
             varX_std = np.where(np.isnan(varX_std), 0, varX_std)
             probs = nght_model.predict_proba(varX_std)[:, 1]
             fd_probs[np.invert(day_idxs)] = probs[np.invert(day_idxs)]
-        fd_probs[clr_idxs] = 0.0
+
+        fd_probs[clr_idxs] = -1.0
 
         max_prob = fd_probs.reshape((num_lines, num_elems))
 

modules/util/plot.py

@@ -277,7 +277,7 @@ def make_icing_image(h5f, probs, ice_lons, ice_lats, clvrx_str_time, satellite,
         # p_im = ax.imshow(probs, cmap='Purples', origin='upper', extent=(xmin, xmax, ymin, ymax),
         p_im = ax.imshow(probs, cmap='jet', origin='upper', extent=(xmin, xmax, ymin, ymax),
         # p_im = ax.imshow(probs, cmap=icing_cmap, origin='upper', extent=(xmin, xmax, ymin, ymax),
-                         vmin=0.50, vmax=1.0, alpha=0.8, transform=geos)
+                         vmin=0.55, vmax=1.0, alpha=0.8, transform=geos)
     ax.coastlines(resolution='50m', color='green', linewidth=1.50)
     ax.add_feature(ccrs.cartopy.feature.STATES, linewidth=1.50, edgecolor='green')
     ax.add_feature(ccrs.cartopy.feature.BORDERS, linewidth=1.50, edgecolor='green')