From 33f22a5050f034816a76d49377fe5d67c287f869 Mon Sep 17 00:00:00 2001 From: Jonas Weinz Date: Thu, 12 Dec 2019 09:19:38 +0100 Subject: [PATCH] changed signatures to have also a main ingredient set --- .../EvolutionaryAlgorithm.ipynb | 8163 +++-------------- .../EvolutionaryAlgorithm.py | 55 +- .../InitializationPlots.ipynb | 5756 +++++++++--- .../InteractiveVersion.ipynb | 17 +- 4 files changed, 5649 insertions(+), 8342 deletions(-) diff --git a/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb b/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb index e1b8ec6..bb24db7 100644 --- a/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb +++ b/EvolutionaryAlgorithm/EvolutionaryAlgorithm.ipynb @@ -171,7 +171,7 @@ "\n", "\n", "m_grouped_mix = dill.load(open(\"../RecipeAnalysis/m_grouped_mix_raw.dill\", \"rb\"))\n", - "m_grouped_act = dill.load(open(\"../RecipeAnalysis/m_grouped_mix_raw.dill\", \"rb\"))\n", + "m_grouped_act = dill.load(open(\"../RecipeAnalysis/m_grouped_act_raw.dill\", \"rb\"))\n", "m_grouped_base_act = dill.load(open(\"../RecipeAnalysis/m_grouped_base_act_raw.dill\", \"rb\"))\n", "\n", "\n", @@ -191,6 +191,10 @@ "m_base_act.compile()\n", "m_base_mix.compile()\n", "\n", + "m_grouped_mix.compile()\n", + "m_grouped_act.compile()\n", + "m_grouped_base_act.compile()\n", + "\n", "c_act = m_act._csr\n", "c_mix = m_mix._csr\n", "c_base_act = m_base_act._csr\n", @@ -446,16 +450,23 @@ " return specialized_sum / base_sum" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**new probability for preprocess ingredients:**" + ] + }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "def p_heat(base_ing):\n", - " heat_actions = [\"heat\",\"cook\",\"simmer\",\"bake\"]\n", - " heat_sum = 0\n", - " m" + "def prepare_ratio(ing:str):\n", + " keys, values = m_grouped_act.get_backward_adjacent(Ingredient(ing).to_json())\n", + " action_dict = dict(zip(keys,values))\n", + " return action_dict['prepare'] / action_dict['heat']" ] }, { @@ -468,7 +479,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -670,7 +681,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -792,7 +803,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -850,7 +861,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -908,13 +919,13 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "class Tree(object):\n", " @staticmethod\n", - " def build_initial_tree(ingredients: list, max_n = 4, wheel_turns = 2):\n", + " def build_initial_tree(ingredients: list, main_ingredients: list, max_n = 4, wheel_turns = 2):\n", " \n", " '''\n", " # get action sets for ingredients\n", @@ -1056,7 +1067,7 @@ " return root_node\n", " \n", " @staticmethod\n", - " def find_ingredients(constant_ingredients, min_additional:int, max_additional:int, top_ings:int=3):\n", + " def find_ingredients(constant_ingredients, main_ingredients, min_additional:int, max_additional:int, top_ings:int=3):\n", " '''\n", " create an initial set of ingredients, based on given constant ingredients.\n", " min_additional and max_additional gives the range of ingredients that are added to our set\n", @@ -1095,16 +1106,16 @@ " return list(constant_ingredients) + list(additional_ingredients)\n", "\n", " @staticmethod\n", - " def from_ingredients(ingredients: list, additional_ings=0):\n", + " def from_ingredients(ingredients: list, main_ingredients: list, additional_ings=0):\n", " root = None\n", " \n", " constant_ingredients = ingredients\n", " \n", " if additional_ings > 0:\n", - " ingredients = Tree.find_ingredients(ingredients, min_additional=0, max_additional=additional_ings)\n", + " ingredients = Tree.find_ingredients(ingredients, main_ingredients, min_additional=0, max_additional=additional_ings)\n", " \n", " \n", - " root = Tree.build_initial_tree(ingredients)\n", + " root = Tree.build_initial_tree(ingredients, main_ingredients)\n", " \n", " # mark initial ingredient nodes as constant:\n", " nodes = root.traverse()\n", @@ -1265,7 +1276,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -1397,11 +1408,11 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ - "p = Population([\"noodle\", \"bacon\", \"tomato\", \"onion\"], max_additional_ings=6)" + "p = Population([\"bacon\", \"tomato\", \"onion\"],['noodle'], max_additional_ings=6)" ] }, { @@ -1424,7 +1435,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1436,3428 +1447,378 @@ "\n", "\n", - 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"\n", - "\n", + "58->57\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22422\n", - "\n", - " \n", - "tomato\n", - "node score:1.0000\n", + "56\n", + "\n", + " \n", + "olive oil\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22420->22422\n", - "\n", - "\n", + "57->56\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22430\n", - "\n", - " \n", - "brown\n", - "node score: 0.2632\n", + "51\n", + "\n", + " \n", + "tomato\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22420->22430\n", - "\n", - "\n", + "57->51\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22423\n", - "\n", - " \n", - "bacon\n", - "node score:1.0000\n", + "53\n", + "\n", + " \n", + "garlic clove\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22430->22423\n", - "\n", - "\n", + "57->53\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -8262,164 +2395,136 @@ "\n", "\n", - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "22431\n", - "\n", - " \n", - "mix\n", - "node score: 0.0000\n", + "74\n", + "\n", + " \n", + "cook\n", + "node score: 0.7125\n", "\n", - "\n", + "\n", "\n", - "22436\n", - "\n", - " \n", - "heat\n", - "node score: 0.8633\n", + "73\n", + "\n", + " \n", + "mix\n", + "node score: 0.2500\n", "\n", - "\n", + "\n", "\n", - "22431->22436\n", - "\n", - "\n", + "74->73\n", + "\n", + "\n", "\n", - "\n", - "\n", - "22432\n", - "\n", - " \n", - "bake\n", - "node score: 0.8190\n", - "\n", - "\n", - "\n", - "22431->22432\n", - "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "22437\n", - "\n", - " \n", - "mix\n", - "node score: 1.0000\n", + "66\n", + "\n", + " \n", + "bacon\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22436->22437\n", - "\n", - "\n", + "73->66\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22438\n", - "\n", - " \n", - "tomato\n", - "node score:1.0000\n", + "72\n", + "\n", + " \n", + "heat\n", + "node score: 0.8920\n", "\n", - "\n", + "\n", "\n", - "22437->22438\n", - "\n", - "\n", + "73->72\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22440\n", - "\n", - " \n", - "onion\n", - "node score:1.0000\n", + "71\n", + "\n", + " \n", + "mix\n", + "node score: 1.0000\n", "\n", - "\n", + "\n", "\n", - "22437->22440\n", - "\n", - "\n", + "72->71\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22439\n", - "\n", - " \n", - "bacon\n", - "node score:1.0000\n", + "68\n", + "\n", + " \n", + "onion\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22437->22439\n", - "\n", - "\n", + "71->68\n", + "\n", + "\n", "\n", - "\n", + "\n", + "\n", + "69\n", + "\n", + " \n", + "salt\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "71->69\n", + "\n", + "\n", + "\n", + "\n", "\n", - "22442\n", - "\n", - " \n", - "cook\n", - "node score: 0.7508\n", + "70\n", + "\n", + " \n", + "olive oil\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22432->22442\n", - "\n", - "\n", + "71->70\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "22433\n", - "\n", - " \n", - "mix\n", - "node score: 1.0000\n", + "67\n", + "\n", + " \n", + "tomato\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22442->22433\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22434\n", - "\n", - " \n", - "salt\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22433->22434\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22435\n", - "\n", - " \n", - "noodle\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22433->22435\n", - "\n", - "\n", + "71->67\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -8434,164 +2539,108 @@ "\n", "\n", - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "22443\n", - "\n", - " \n", - "mix\n", - "node score: 0.0000\n", + "82\n", + "\n", + " \n", + "mix\n", + "node score: 0.0000\n", "\n", - "\n", + "\n", "\n", - "22444\n", - "\n", - " \n", - "bake\n", - "node score: 0.8190\n", + "81\n", + "\n", + " \n", + "heat\n", + "node score: 1.0000\n", "\n", - "\n", + "\n", "\n", - "22443->22444\n", - "\n", - "\n", + "82->81\n", + "\n", + "\n", "\n", - "\n", - "\n", - "22448\n", - "\n", - " \n", - "heat\n", - "node score: 0.8633\n", - "\n", - "\n", - "\n", - "22443->22448\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22445\n", - "\n", - " \n", - "mix\n", - "node score: 1.0000\n", - "\n", - "\n", - "\n", - "22444->22445\n", - "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "22447\n", - "\n", - " \n", - "salt\n", - "node score:1.0000\n", + "80\n", + "\n", + " \n", + "cook\n", + "node score: 1.0000\n", "\n", - "\n", + "\n", "\n", - "22445->22447\n", - "\n", - "\n", + "82->80\n", + "\n", + "\n", "\n", - "\n", + "\n", + "\n", + "77\n", + "\n", + " \n", + "tomato\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "81->77\n", + "\n", + "\n", + "\n", + "\n", "\n", - "22446\n", - "\n", - " \n", - "noodle\n", - "node score:1.0000\n", + "79\n", + "\n", + " \n", + "mix\n", + "node score: 1.0000\n", "\n", - "\n", + "\n", "\n", - "22445->22446\n", - "\n", - "\n", + "80->79\n", + "\n", + "\n", "\n", - "\n", + "\n", + "\n", + "76\n", + "\n", + " \n", + "bacon\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "79->76\n", + "\n", + "\n", + "\n", + "\n", "\n", - "22449\n", - "\n", - " \n", - "cook\n", - "node score: 0.9135\n", + "78\n", + "\n", + " \n", + "onion\n", + "node score:1.0000\n", "\n", - "\n", + "\n", "\n", - "22448->22449\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22450\n", - "\n", - " \n", - "mix\n", - "node score: 1.0000\n", - "\n", - "\n", - "\n", - "22449->22450\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22451\n", - "\n", - " \n", - "tomato\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22450->22451\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22454\n", - "\n", - " \n", - "onion\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22450->22454\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22452\n", - "\n", - " \n", - "bacon\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22450->22452\n", - "\n", - "\n", + "79->78\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -8606,164 +2655,364 @@ "\n", "\n", - "\n", - "\n", + "\n", + "\n", "%3\n", - "\n", - "\n", + "\n", + "\n", "\n", - "22456\n", - "\n", - " \n", - "mix\n", - "node score: 0.0000\n", + "97\n", + "\n", + " \n", + "mix\n", + "node score: 0.0000\n", "\n", - "\n", + "\n", "\n", - "22462\n", - "\n", - " \n", - "bake\n", - "node score: 0.8190\n", + "96\n", + "\n", + " \n", + "heat\n", + "node score: 0.9279\n", "\n", - "\n", + "\n", "\n", - "22456->22462\n", - "\n", - "\n", + "97->96\n", + "\n", + "\n", "\n", - "\n", - "\n", - "22467\n", - "\n", - " \n", - "slice\n", - "node score: 0.2177\n", - "\n", - "\n", - "\n", - "22456->22467\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22463\n", - "\n", - " \n", - "mix\n", - "node score: 1.0000\n", - "\n", - "\n", - "\n", - "22462->22463\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22464\n", - "\n", - " \n", - "salt\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22463->22464\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22465\n", - "\n", - " \n", - "noodle\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22463->22465\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22457\n", - "\n", - " \n", - "heat\n", - "node score: 0.8633\n", - "\n", - "\n", - "\n", - "22467->22457\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22458\n", - "\n", - " \n", - "mix\n", - "node score: 1.0000\n", - "\n", - "\n", - "\n", - "22457->22458\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22461\n", - "\n", - " \n", - "bacon\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22458->22461\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "22459\n", - "\n", - " \n", - "tomato\n", - "node score:1.0000\n", - "\n", - "\n", - "\n", - "22458->22459\n", - "\n", - "\n", - "\n", - "\n", + "\n", "\n", - "22460\n", - "\n", - " \n", - "onion\n", - "node score:1.0000\n", + "94\n", + "\n", + " \n", + "cool\n", + "node score: 0.6073\n", "\n", - "\n", + "\n", "\n", - "22458->22460\n", - "\n", - "\n", + "97->94\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "95\n", + "\n", + " \n", + "mix\n", + "node score: 0.5000\n", + "\n", + "\n", + "\n", + "96->95\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "92\n", + "\n", + " \n", + "cook\n", + "node score: 0.7929\n", + "\n", + "\n", + "\n", + "95->92\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "85\n", + "\n", + " \n", + "tomato\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "95->85\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "91\n", + "\n", + " \n", + "mix\n", + "node score: 0.8333\n", + "\n", + "\n", + "\n", + "92->91\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "84\n", + "\n", + " \n", + "bacon\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "91->84\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "86\n", + "\n", + " \n", + "onion\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "91->86\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "88\n", + "\n", + " \n", + "olive oil\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "91->88\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "89\n", + "\n", + " \n", + "garlic clove\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "91->89\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "93\n", + "\n", + " \n", + "mix\n", + "node score: 1.0000\n", + "\n", + "\n", + "\n", + "94->93\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "87\n", + "\n", + " \n", + "salt\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "93->87\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "90\n", + "\n", + " \n", + "egg\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "93->90\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "%3\n", + "\n", + "\n", + "\n", + "108\n", + "\n", + " \n", + "mix\n", + "node score: 0.0000\n", + "\n", + "\n", + "\n", + "107\n", + "\n", + " \n", + "cook\n", + "node score: 0.9182\n", + "\n", + "\n", + "\n", + "108->107\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "103\n", + "\n", + " \n", + "cool\n", + "node score: 0.5490\n", + "\n", + "\n", + "\n", + "108->103\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "106\n", + "\n", + " \n", + "mix\n", + "node score: 0.0000\n", + "\n", + "\n", + "\n", + "107->106\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "99\n", + "\n", + " \n", + "bacon\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "106->99\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "105\n", + "\n", + " \n", + "simmer\n", + "node score: 0.6840\n", + "\n", + "\n", + "\n", + "106->105\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "104\n", + "\n", + " \n", + "mix\n", + "node score: 1.0000\n", + "\n", + "\n", + "\n", + "105->104\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "100\n", + "\n", + " \n", + "tomato\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "104->100\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "101\n", + "\n", + " \n", + "onion\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "104->101\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "102\n", + "\n", + " \n", + "salt\n", + "node score:1.0000\n", + "\n", + "\n", + "\n", + "103->102\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" ] }, "metadata": {}, diff --git a/EvolutionaryAlgorithm/EvolutionaryAlgorithm.py b/EvolutionaryAlgorithm/EvolutionaryAlgorithm.py index 310a514..9235744 100644 --- a/EvolutionaryAlgorithm/EvolutionaryAlgorithm.py +++ b/EvolutionaryAlgorithm/EvolutionaryAlgorithm.py @@ -72,6 +72,12 @@ m_mix = dill.load(open("../RecipeAnalysis/m_mix.dill", "rb")) m_base_act = dill.load(open("../RecipeAnalysis/m_base_act.dill", "rb")) m_base_mix = dill.load(open("../RecipeAnalysis/m_base_mix.dill", "rb")) + +m_grouped_mix = dill.load(open("../RecipeAnalysis/m_grouped_mix_raw.dill", "rb")) +m_grouped_act = dill.load(open("../RecipeAnalysis/m_grouped_act_raw.dill", "rb")) +m_grouped_base_act = dill.load(open("../RecipeAnalysis/m_grouped_base_act_raw.dill", "rb")) + + #m_act.apply_threshold(3) #m_mix.apply_threshold(3) #m_base_act.apply_threshold(5) @@ -88,6 +94,10 @@ m_mix.compile() m_base_act.compile() m_base_mix.compile() +m_grouped_mix.compile() +m_grouped_act.compile() +m_grouped_base_act.compile() + c_act = m_act._csr c_mix = m_mix._csr c_base_act = m_base_act._csr @@ -455,6 +465,9 @@ class RecipeTreeNode(object): # ### Mix Node +# For the Node Score: just make a simple lookup whether this combination is seen or not. So the node Score is defined as: +# + class MixNode(RecipeTreeNode): def __init__(self, constant=False): super().__init__("mix", constant, single_child=False) @@ -536,12 +549,22 @@ class MixNode(RecipeTreeNode): #s_base += sym_score(ing_a._base_ingredient, ing_b._base_ingredient, m_base_mix, c_base_mix) #s += sym_score(ing_a.to_json(), ing_b.to_json(), m_mix, c_mix) - p1 = sym_p_a_given_b(ing_a.to_json(), ing_b.to_json(), m_mix, c_mix) - p2 = sym_p_a_given_b(ing_b.to_json(), ing_a.to_json(), m_mix, c_mix) - s += 0.5 * p1 + 0.5 * p2 + # old method: + #p1 = sym_p_a_given_b(ing_a.to_json(), ing_b.to_json(), m_mix, c_mix) + #p2 = sym_p_a_given_b(ing_b.to_json(), ing_a.to_json(), m_mix, c_mix) + #s += 0.5 * p1 + 0.5 * p2 - except: + + ia = m_mix._label_index[ing_a.to_json()] + ib = m_mix._label_index[ing_b.to_json()] + + if c_mix[ia,ib] > 0 or c_mix[ib,ia] > 0: + s += 1 + + + + except KeyError as e: pass #s_base /= len(pairwise_tuples) @@ -652,7 +675,7 @@ class ActionNode(RecipeTreeNode): class Tree(object): @staticmethod - def build_initial_tree(ingredients: list, max_n = 4, wheel_turns = 2): + def build_initial_tree(ingredients: list, main_ingredients: list, max_n = 4, wheel_turns = 2): ''' # get action sets for ingredients @@ -833,7 +856,7 @@ class Tree(object): return list(constant_ingredients) + list(additional_ingredients) @staticmethod - def from_ingredients(ingredients: list, additional_ings=0): + def from_ingredients(ingredients: list, main_ingredients: list, additional_ings=0): root = None constant_ingredients = ingredients @@ -997,8 +1020,8 @@ class Tree(object): # ## Population class Population(object): - def __init__(self, start_ingredients, n_population = 10, max_additional_ings=0): - self.population = [Tree.from_ingredients(start_ingredients, additional_ings=max_additional_ings) for i in range(n_population)] + def __init__(self, start_ingredients, main_ingredients, n_population = 10, max_additional_ings=0): + self.population = [Tree.from_ingredients(start_ingredients, main_ingredients, additional_ings=max_additional_ings) for i in range(n_population)] self._n = n_population self._mix_min = None self._mix_max = None @@ -1115,3 +1138,19 @@ class Population(object): display(t.root().dot()) +# ## Run Evolutionary Algorithm + +#p = Population(["bacon", "tomato", "onion"],['noodle'], max_additional_ings=6) + + +#p_ingredient_unprepared(list(p.population[0].root().childs())[0]._name) < 0.2 + + +#p.run(100) + + +#p.plot_population(collect_scores=False) + + + + diff --git a/EvolutionaryAlgorithm/InitializationPlots.ipynb b/EvolutionaryAlgorithm/InitializationPlots.ipynb index 72aa934..1e5f733 100644 --- a/EvolutionaryAlgorithm/InitializationPlots.ipynb +++ b/EvolutionaryAlgorithm/InitializationPlots.ipynb @@ -2,13 +2,14 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { "data": { + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -41,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -139,7 +140,35 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "def forward_normalized_score(key, matrix):\n", + " sum_key = matrix.get_fw_sum(key)\n", + " keys, values = matrix.get_forward_adjacent(key)\n", + " normalized_values = EA.np.array([(values[i] / matrix.get_bw_sum(keys[i])) * (values[i] / sum_key) for i in range(len(keys))])\n", + " sort = EA.np.argsort(-normalized_values)\n", + " return keys[sort], normalized_values[sort]\n", + "\n", + "def backward_normalized_score(key, matrix):\n", + " sum_key = matrix.get_bw_sum(key)\n", + " keys, values = matrix.get_backward_adjacent(key)\n", + " normalized_values = EA.np.array([(values[i] / matrix.get_fw_sum(keys[i])) * (values[i] / sum_key) for i in range(len(keys))])\n", + " sort = EA.np.argsort(-normalized_values)\n", + " return keys[sort], normalized_values[sort]\n", + "\n", + "def normalized_score(key, matrix):\n", + " sum_key = matrix.get_sum(key)\n", + " keys, values = matrix.get_adjacent(key)\n", + " normalized_values = EA.np.array([(values[i] / matrix.get_sum(keys[i])) * (values[i] / sum_key) for i in range(len(keys))])\n", + " sort = EA.np.argsort(-normalized_values)\n", + " return keys[sort], normalized_values[sort]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -155,52 +184,678 @@ "histfunc": "sum", "type": "histogram", "x": [ - "cook", - "bake", - "drain", - "heat", - "boil", - "place", - "cut", - "pour", - "simmer", - "spread", - "cool", - "brown", - "soak", - "warm", - "refrigerate", - "fry", - "blend", - "slice", - "rinse", - "thicken", - "break", - "freeze" + "bread", + "cheese", + "rye bread", + "cucumber", + "prosciutto", + "onion", + "ham", + "swiss cheese", + "wheat bread", + "tomato", + "avocado", + "salt", + "bacon", + "banana", + "steak", + "pork tenderloin", + "apple", + "egg", + "country bread", + "red apple", + "bagel", + "baguette", + "butter", + "leaf lettuce leaf", + "mozzarella", + "red onion", + "olive oil", + "sourdough bread", + "mushroom", + "chicken breast", + "loaf", + "eggplant", + "potato", + "sugar", + "strawberry", + "flour", + "mozzarella cheese", + "lettuce leaf", + "black pepper", + "lemon", + "arugula", + "goat cheese", + "roast beef", + "cucumbers", + "nectarine", + "green tomato", + "green apple", + "radish", + "turkey breast", + "peach", + "carrot", + "salami", + "sandwich bread", + "pork loin roast", + "duck breast", + "clove garlic", + "orange", + "beef tenderloin", + "zucchini", + "muenster cheese", + "basil leaf", + "pepperoni", + "pepper jack cheese", + "dill pickle", + "loaf bread", + "lettuce", + "avocados", + "jack pepper cheese", + "pepper", + "red pepper", + "sirloin steak", + "garlic clove", + "salmon", + "green onion", + "turkey bacon", + "iceberg lettuce", + "dough", + "mushrooms", + "cream cheese", + "peaches", + "beef brisket", + "sausage", + "water", + "garlic", + "fennel bulb", + "strawberries", + "flour tortilla", + "roll", + "sponge cake", + "almond", + "black olive", + "bananas", + "green onions", + "kielbasa", + "milk", + "vanilla extract", + "pear", + "tofu", + "lime", + "olive", + "roast red pepper", + "cinnamon", + "croissant", + "parsley", + "pork loin", + "lemon juice", + "pineapple", + "sauce", + "vidalia onion", + "shiitake mushroom", + "hamburger bun", + "ground black pepper", + "red bell pepper", + "salad green", + "grapefruit", + "basil", + "eggs", + "apples", + "lamb", + "mango", + "jack cheese", + "chicken breast half", + "pork", + "red", + "scallion", + "kosher salt", + "cream", + "plum tomato", + "orange juice", + "grape tomato", + "squash", + "bread flour", + "vegetable oil", + "ground cinnamon", + "pastry", + "fontina cheese", + "leek", + "mint", + "onions", + "rosemary", + "crust", + "artichoke", + "russet potato", + "pancetta", + "ginger", + "spinach", + "shallot", + "green olive", + "daikon radish", + "pita bread", + "yeast", + "cherry tomato", + "cilantro", + "turkey", + "chicken breast fillet", + "thyme", + "lime zest", + "orange marmalade", + "potatoes", + "celery", + "soy sauce", + "dijon mustard", + "beet", + "cornmeal", + "walnut", + "cake", + "mustard", + "green", + "asparagus", + "lime juice", + "fig", + "portobello mushroom", + "honey", + "oregano", + "green pepper", + "canola oil", + "bread dough", + "cabbage", + "dill", + "cake flour", + "ground pepper", + "baking soda", + "mint leaf", + "chorizo sausage", + "chicken breasts", + "cremini mushroom", + "bread crumb", + "monterey jack cheese", + "roast", + "tortilla", + "hot", + "pie crust", + "dress", + "tomatoes", + "red potato", + "sprout", + "caster sugar", + "vanilla", + "pistachio", + "pecan", + "polenta", + "tuna", + "veal", + "apricot", + "ketchup", + "tablespoon butter", + "sage leaf", + "nutmeg", + "vinegar", + "lemongrass", + "okra", + "hazelnut", + "walnuts", + "salmon fillet", + "ricotta cheese", + "raisin", + "almonds", + "chive", + "cocoa", + "leaf", + "red wine vinegar", + "beef", + "chicken", + "tart apple", + "red wine", + "spaghetti sauce", + "breadcrumb", + "shrimp", + "chocolate", + "buttermilk", + "ground beef", + "carrots", + "peanut butter", + "ear corn", + "wheat flour", + "extra-virgin olive oil", + "dressing", + "sauerkraut", + "lemon zest", + "salsa", + "biscuit", + "meat", + "vanilla ice cream", + "egg yolk", + "soda", + "chocolate chip", + "cranberry", + "tomato sauce", + "date", + "rice", + "ground nutmeg", + "topping", + "orange zest", + "water chestnut", + "scallop", + "butternut squash", + "almond extract", + "maraschino cherry", + "sesame seed", + "broccoli", + "season", + "coconut", + "spinach leaf", + "salad dress", + "ground cumin", + "paprika", + "margarine", + "garlic salt", + "beef stock", + "pecans", + "fruit", + "caraway seed", + 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", + "image/png": 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", + "text/html": [ + "
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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "keys, values = EA.m_grouped_act.get_backward_adjacent(EA.Ingredient(\"bread\").to_json())\n", + "data = go.Histogram(x=keys, y=values, histfunc=\"sum\")\n", + "iplot([data])" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "def prepare_ratio(ing:str):\n", + " keys, values = EA.m_grouped_act.get_backward_adjacent(EA.Ingredient(ing).to_json())\n", + " action_dict = dict(zip(keys,values))\n", + " return action_dict['prepare'] / action_dict['heat']" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.405195500803428" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prepare_ratio(\"sugar\")" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/EvolutionaryAlgorithm/InteractiveVersion.ipynb b/EvolutionaryAlgorithm/InteractiveVersion.ipynb index 52343a1..063ed2c 100644 --- a/EvolutionaryAlgorithm/InteractiveVersion.ipynb +++ b/EvolutionaryAlgorithm/InteractiveVersion.ipynb @@ -123,7 +123,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5796ec52773740c59e747c0e5f77410e", + "model_id": "affefd1263f44e97815b9c32f49d69d9", "version_major": 2, "version_minor": 0 }, @@ -149,7 +149,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "92fd11191481475a9c40ae76201b4772", + "model_id": "29990add3612462abfb4dcc60f2ff7ca", "version_major": 2, "version_minor": 0 }, @@ -163,7 +163,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "618b5a44910843bbaed8b36c3ad2bc46", + "model_id": "4b66883d839f49e9b764f683ba9079c9", "version_major": 2, "version_minor": 0 }, @@ -189,7 +189,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "301ebb9ed6024493ad85c2b79402345e", + "model_id": "645f200c9fa441f8964683dbcd188ad0", "version_major": 2, "version_minor": 0 }, @@ -215,7 +215,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c90d303cd2cb43d1aae401ac6226e3a1", + "model_id": "d0c4b6f97b894211a5a1c2cf052e1d58", "version_major": 2, "version_minor": 0 }, @@ -229,7 +229,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "cea1f9de60344298ac8417d755ad74df", + "model_id": "889ed0ea7cc24663b40beb30e8a1abcc", "version_major": 2, "version_minor": 0 }, @@ -243,7 +243,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3ac8e962dfeb445fa3417dbdbfd5c44c", + "model_id": "fa434784f8364bc692301a162824cb30", "version_major": 2, "version_minor": 0 }, @@ -321,7 +321,10 @@ "\n", "w_run_button = widgets.Button(description=\"run EA\")\n", "\n", + "p = None\n", + "\n", "def run(e=None):\n", + " global p\n", " w_result_out.clear_output()\n", " with w_result_out:\n", " p = EvolutionaryAlgorithm.Population(\n",