def test_smap(self):
#--------------------------------------------------------
# circle test embedded = True
#--------------------------------------------------------
print("--- S-map circle embedded = True ---")
dfc = EDM.ReadDataFrame("", self.Files["circle.csv"])
# Passing Pandas DataFrame input to Smap rather than path/file
SM = EDM.SMap("", "", dfc, "", "", "1 100", "101 198", 2, 1, 0, 1, 4,
0, "x y", "x", "", "", True, False, True, False)
df = SM['predictions']
dfv = EDM.ReadDataFrame("", self.Files["Smap_circle_pyEDM.csv"])
S1 = dfv.get('Prediction_t(+1)')
S2 = round(df.get('Predictions'), 4)
self.assertTrue(S1.equals(S2))
def test_ccm(self):
print("--- CCM ---")
df = EDM.CCM("", self.Files["sardine_anchovy_sst.csv"], None, "./", "",
3, 0, 0, 1, "anchovy", "np_sst", "10 75 5", 1, False,
False, 0, True)
dfv = EDM.ReadDataFrame("",
self.Files["CCM_anch_sst_cppEDM_valid.csv"],
noTime=True)
self.assertTrue(dfv.equals(round(df, 4)))
def test_multiview( self ):
print ( "--- Multiview ---" )
M = EDM.Multiview( "", self.Files[ "block_3sp.csv" ], None, "./", "",
"1 100", "101 198", 0, 3, 1, 0, -1,
"x_t y_t z_t", "x_t", 0, 0, True, False, 4 )
df_pred = M['Predictions']
df_combo = round( M['View' ], 4 )
# cppEDM and devPDM outputs are rounded to os.precision( 4 );
dfv = EDM.ReadDataFrame( "", self.Files[ "Multiview_pred_valid.csv" ],
noTime = True )
dfc = EDM.ReadDataFrame( "", self.Files[ "Multiview_combos_valid.csv" ],
noTime = True )
# Validate predictions
M1 = dfv.get('Predictions')
M2 = round( df_pred.get('Predictions'), 4 )
self.assertTrue( M1.equals( M2 ) )
# Validate combinations
self.assertTrue( dfc.equals( df_combo ) )
def test_simplex(self):
#--------------------------------------------------------
# embedded = False
#--------------------------------------------------------
print("--- Simplex embedded = False ---")
df = EDM.Simplex("", self.Files["block_3sp.csv"], None, "./", "",
"1 100", "101 195", 3, 1, 0, 1, 0, "x_t", "x_t",
False, False, True, False)
# cppEDM and devEDM outputs are rounded to os.precision( 4 );
dfv = EDM.ReadDataFrame("", self.Files["Smplx_E3_block_3sp_pyEDM.csv"])
S1 = dfv.get('Prediction_t(+1)')[1:95] # Skip row 0 Nan
S2 = round(df.get('Predictions'), 4)[1:95] # Skip row 0 Nan
self.assertTrue(S1.equals(S2))
def test_simplex2(self):
#--------------------------------------------------------
# embedded = True
#--------------------------------------------------------
print("--- Simplex embedded = True ---")
df = EDM.Simplex("", self.Files["block_3sp.csv"], None, "./", "",
"1 99", "100 198", 3, 1, 0, 1, 0, "x_t y_t z_t",
"x_t", True, False, True, False)
# This has been rounded to os.precision( 4 );
dfv = EDM.ReadDataFrame("",
self.Files["Smplx_embd_block_3sp_pyEDM.csv"])
S1 = dfv.get('Prediction_t(+1)')[1:98] # Skip row 0 Nan
S2 = round(df.get('Predictions'), 4)[1:98] # Skip row 0 Nan
self.assertTrue(S1.equals(S2))
def test_smap2(self):
#--------------------------------------------------------
# block_3sp embedded = True
#--------------------------------------------------------
print("--- S-map block_3sp embedded = True ---")
SM = EDM.SMap("", self.Files["block_3sp.csv"], None, "./", "", "1 99",
"100 198", 3, 1, 0, 1, 2, 0, "x_t y_t z_t", "x_t", "",
"", True, False, True, False)
df = SM['predictions']
dfv = EDM.ReadDataFrame("",
self.Files["Smap_embd_block_3sp_pyEDM.csv"])
S1 = dfv.get('Prediction_t(+1)')
S2 = round(df.get('Predictions'), 4)
self.assertTrue(S1.equals(S2))
