forest regression

Author: md-shafiul-alam

configs/spmd/large_scale/forest_strong_reg.json

@@ -8,15 +8,17 @@
         },
         "synthetic data": {
             "data": [
-                { "source": "make_regression", "generation_kwargs": { "n_samples": 10000000,  "n_features": 100, "noise": 1.25 }, "split_kwargs": { "train_size": 10000000, "test_size": 5000 }, "algorithm": { "estimator_params": { "n_estimators": 20, "max_depth": 4 } }}
+                { "source": "make_regression", "generation_kwargs": { "n_samples": 10000000,  "n_features": 10, "noise": 1.25 }, "split_kwargs": { "train_size": 9090000, "test_size": 100000 }, "algorithm": { "estimator_params": { "n_estimators": 5, "max_depth": 4 } }},
+                { "source": "make_regression", "generation_kwargs": { "n_samples": 100000,  "n_features": 1000, "noise": 1.25 }, "split_kwargs": { "train_size": 90000, "test_size": 10000 }, "algorithm": { "estimator_params": { "n_estimators": 10, "max_depth": 4 } }}
+            
             ]
         }
     },
     "TEMPLATES": {
         "forestReg": {
             "SETS": [
                 "sklearnex spmd implementation",
-                "large scale strong 2k parameters",
+                "large scale strong 32 parameters",
 		        "synthetic data",
                 "spmd forest regression parameters"
             ]