Proof that I have no clue what I'm doing

dual_regression.py

@@ -0,0 +1,26 @@
+# Can you do two linear regressions at once to do pixel-to-pixel mappings?
+import pandas as pd
+from river import linear_model, preprocessing
+
+xcoord = preprocessing.StandardScaler() | preprocessing.TargetStandardScaler(linear_model.LinearRegression())
+ycoord = preprocessing.StandardScaler() | preprocessing.TargetStandardScaler(linear_model.LinearRegression())
+
+source_points = [
+	{"x": float(x), "y": float(y)} for y in range(1, 6) for x in range(1, 6)
+]
+
+def xfrm(p):
+	return {"x": 2*p["x"] + 5, "y": 2*p["y"] }#+ p["x"]/10}
+
+def scale(p):
+	return {"x": p["x"] / 100.0, "y": p["y"] / 100.0}
+
+for p in source_points:
+	out = xfrm(p)
+	print(p, out)
+	xcoord.learn_one(scale(p), scale(out)["x"])
+	ycoord.learn_one(scale(p), scale(out)["y"])
+
+p = {"x": 2.5, "y": 2.5}
+print(xcoord.predict_one(scale(p)) * 100.0, ycoord.predict_one(scale(p)) * 100.0)
+print(p, xfrm(p))