Fix n_features to 32 and cap number of threads 2^5

The number of features should have no influence
on the scalability.

kdtree/Makefile

@@ -75,7 +75,7 @@ clean:
 # Uses taskset to cap to a cpu solely
 .PHONY: benchmark
 benchmark:
-	for i in {0..7}; do \
+	for i in {0..5}; do \
 		taskset -c 0-$$((2**i-1)) ${PYTHON_EXECUTABLE} benchmarks/benchmark.py `git rev-parse --short HEAD`_$$((2**i))_threads ;\
 	done
 	${PYTHON_EXECUTABLE} benchmarks/report.py `git rev-parse --short HEAD`

kdtree/benchmarks/config.yml

@@ -9,18 +9,12 @@ n_trials: 5
 datasets:
   - n_samples_train: 1e5
     n_samples_test: 1 # not used yet
-    n_features: 2
-  - n_samples_train: 1e5
-    n_samples_test: 1 # not used yet
-    n_features: 10
-  - n_samples_train: 1e5
+    n_features: 32
+  - n_samples_train: 1e6
     n_samples_test: 1 # not used yet
-    n_features: 100
+    n_features: 32
 
 leaf_sizes:
-  - 64
-  - 128
-  - 256
   - 512
   - 1024
   - 2048