Add fake df and lint

hawk/processes/simulation_interactive.py

@@ -1,19 +1,35 @@
 import numpy as np
 import pandas as pd
 from birdy import WPSClient
-#from keras import models
 
+# from keras import models
 
-url = "http://localhost:5000/wps"
-wps = WPSClient(url, verify=False)
-help(wps)
 
+np.random.seed(0)
+n = 1000  # number of samples
+m = 15  # number of features
 
-resp = wps.hello(name="Pluto")
-print(resp)
-resp.get()
+data = {}
+for i in range(1, m + 1):
+    data[f"x{i}"] = np.random.normal(size=n)
+
+data["y"] = sum(data.values()) + np.random.normal(size=n)
+
+data = pd.DataFrame(data)
 
+n_test = int(0.20 * n)
+n_train = n - n_test
+data_test = data[n_train:]
+data = data[:n_train]
+
+data.head()
+
+target_name = "y"
+
+url = "http://localhost:5000/wps"
+wps = WPSClient(url, verify=False)
+help(wps)
 
-resp = wps.cyclone(start_day="2019-01-04", end_day="2019-01-06", area="Sindian")
+resp = wps.causal()
 print(resp)
 resp.get()