Add mixture backend tell_examples support

bbopt-source/backends/mixture.coco

@@ -18,28 +18,40 @@ class MixtureBackend(Backend):
         total_weight = sum(weight for alg, weight in distribution)
 
         # generate cutoff points
-        cum_probs = []
+        self.cum_probs = []
         prev_cutoff = 0
         for alg, weight in distribution:
             cutoff = prev_cutoff + weight / total_weight
-            cum_probs.append((alg, cutoff))
+            self.cum_probs.append((alg, cutoff))
             prev_cutoff = cutoff
 
+        self.backend_store = {}
+        self.tell_examples(examples, params)
+
+    def tell_examples(self, examples, params):
+        """Special method that allows fast updating of the backend with new examples."""
         # randomly select algorithm
         rand_val = random.random()
         self.selected_alg = None
-        for alg, cutoff in cum_probs:
+        for alg, cutoff in self.cum_probs:
             if rand_val <= cutoff:
                 self.selected_alg = alg
                 break
 
         # initialize backend
         self.selected_backend, options = alg_registry[self.selected_alg]
-        self.backend = init_backend(self.selected_backend, examples, params, **options)
+        self.current_backend = init_backend(
+            self.selected_backend,
+            examples,
+            params,
+            attempt_to_update_backend=self.backend_store.get(self.selected_alg),
+            **options,
+        )
+        self.backend_store[self.selected_alg] = self.current_backend
 
     def param(self, name, func, *args, **kwargs) =
         """Defer parameter selection to the selected backend."""
-        self.backend.param(name, func, *args, **kwargs)
+        self.current_backend.param(name, func, *args, **kwargs)
 
 
 # Registered names:

bbopt-source/backends/util.coco

@@ -163,7 +163,7 @@ class Backend:
         """Attempt to update this backend with new arguments. False indicates that the
         update failed while True indicates a successful update."""
         if (self.tell_examples is NotImplemented
-            or not params
+            or not self._params
             or params != self._params
             or args != self._args
             or kwargs != self._kwargs):
@@ -172,7 +172,10 @@ class Backend:
         if old_examples != self._examples:
             return False
         if new_examples:
-            self.tell_examples(new_examples, params)
+            try:
+                self.tell_examples(new_examples, params)
+            except NotImplementedError:
+                return False
         return True
 
     # implement tell_examples(new_examples, params) to allow fast updating on new data

bbopt-source/constants.coco

@@ -5,7 +5,7 @@ Constants for use across all of BBopt.
 
 # Installation constants:
 name = "bbopt"
-version = "1.1.4"
+version = "1.1.5"
 description = "The easiest hyperparameter optimization you'll ever do."
 long_description = """
 See BBopt's GitHub_ for more information.

bbopt/backends/mixture.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-# __coconut_hash__ = 0x2637c052
+# __coconut_hash__ = 0x18531269
 
 # Compiled with Coconut version 1.4.0-post_dev40 [Ernest Scribbler]
 
@@ -43,28 +43,34 @@ def __init__(self, examples, params, distribution):
         total_weight = sum((weight for alg, weight in distribution))
 
 # generate cutoff points
-        cum_probs = []
+        self.cum_probs = []
         prev_cutoff = 0
         for alg, weight in distribution:
             cutoff = prev_cutoff + weight / total_weight
-            cum_probs.append((alg, cutoff))
+            self.cum_probs.append((alg, cutoff))
             prev_cutoff = cutoff
 
+        self.backend_store = {}
+        self.tell_examples(examples, params)
+
+    def tell_examples(self, examples, params):
+        """Special method that allows fast updating of the backend with new examples."""
 # randomly select algorithm
         rand_val = random.random()
         self.selected_alg = None
-        for alg, cutoff in cum_probs:
+        for alg, cutoff in self.cum_probs:
             if rand_val <= cutoff:
                 self.selected_alg = alg
                 break
 
 # initialize backend
         self.selected_backend, options = alg_registry[self.selected_alg]
-        self.backend = init_backend(self.selected_backend, examples, params, **options)
+        self.current_backend = init_backend(self.selected_backend, examples, params, attempt_to_update_backend=self.backend_store.get(self.selected_alg), **options)
+        self.backend_store[self.selected_alg] = self.current_backend
 
     def param(self, name, func, *args, **kwargs):
         """Defer parameter selection to the selected backend."""
-        return self.backend.param(name, func, *args, **kwargs)
+        return self.current_backend.param(name, func, *args, **kwargs)
 
 
 # Registered names:

bbopt/backends/util.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-# __coconut_hash__ = 0x6f664d1
+# __coconut_hash__ = 0x189fad0
 
 # Compiled with Coconut version 1.4.0-post_dev40 [Ernest Scribbler]
 
@@ -218,13 +218,16 @@ def __init__(self, examples=None, params=None):
     def attempt_update(self, examples=None, params=None, *args, **kwargs):
         """Attempt to update this backend with new arguments. False indicates that the
         update failed while True indicates a successful update."""
-        if (self.tell_examples is NotImplemented or not params or params != self._params or args != self._args or kwargs != self._kwargs):
+        if (self.tell_examples is NotImplemented or not self._params or params != self._params or args != self._args or kwargs != self._kwargs):
             return False
         old_examples, new_examples = examples[:len(self._examples)], examples[len(self._examples):]
         if old_examples != self._examples:
             return False
         if new_examples:
-            self.tell_examples(new_examples, params)
+            try:
+                self.tell_examples(new_examples, params)
+            except NotImplementedError:
+                return False
         return True
 
 # implement tell_examples(new_examples, params) to allow fast updating on new data

bbopt/constants.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
-# __coconut_hash__ = 0x6996f040
+# __coconut_hash__ = 0x4564326b
 
 # Compiled with Coconut version 1.4.0-post_dev40 [Ernest Scribbler]
 
@@ -29,7 +29,7 @@
 
 # Installation constants:
 name = "bbopt"
-version = "1.1.4"
+version = "1.1.5"
 description = "The easiest hyperparameter optimization you'll ever do."
 long_description = """
 See BBopt's GitHub_ for more information.