optimization and fehler behebung
This commit is contained in:
		| @ -139,12 +139,22 @@ | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 5, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
|     "#TODO" | ||||
|     "#sys.path.append(\"..\")\n", | ||||
|     "#print(sys.path)\n", | ||||
|     "\n", | ||||
|     "import naive_approach.naive_approach as clf_naive" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 6, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
|     "tmp_dict = clf_naive.prepareData()" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
| @ -157,25 +167,31 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 6, | ||||
|    "execution_count": 25, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
|     "def merged_prediction(msg , split = 1 , number = 8, target_emojis = top_emojis):\n", | ||||
|     "def merged_prediction(msg , split = 0.5 , number = 8, target_emojis = top_emojis):\n", | ||||
|     "    \n", | ||||
|     "    #calc ratio of prediction splitted between advanced aprroach and naive approach\n", | ||||
|     "    number_advanced = round(split*number)\n", | ||||
|     "    number_naive = round(1-split)*number\n", | ||||
|     "    number_naive = round((1-split)*number)\n", | ||||
|     "    \n", | ||||
|     "    #predict emojis with the naive approach\n", | ||||
|     "    prediction_naive = clf_naive.predict(sentence = msg, lookup= tmp_dict, n = number_naive)\n", | ||||
|     "    \n", | ||||
|     "    if(len(prediction_naive) < number_naive):\n", | ||||
|     "        print(\"only few matches\")\n", | ||||
|     "        number_advanced = number - len(prediction_naive)\n", | ||||
|     "        \n", | ||||
|     "    #print(number, number_advanced, number_naive)\n", | ||||
|     "    \n", | ||||
|     "    #predict the advanced approach\n", | ||||
|     "    sentiment = clf_advanced.predict([msg])\n", | ||||
|     "    prediction_advanced = ed.sentiment_vector_to_emoji(sentiment,n_results = number_advanced, custom_target_emojis=target_emojis)\n", | ||||
|     "    \n", | ||||
|     "    #predict emojis with the naive approach\n", | ||||
|     "    #prediction_naive = clf_naive.predict(msg, target_emojis)\n", | ||||
|     "    \n", | ||||
|     "        \n", | ||||
|     "    #concat both predictions\n", | ||||
|     "    prediction = prediction_advanced#.append(prediction_naive)\n", | ||||
|     "    prediction = list(prediction_advanced)+list(prediction_naive)\n", | ||||
|     "    \n", | ||||
|     "    return prediction[:number]" | ||||
|    ] | ||||
| @ -189,7 +205,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 7, | ||||
|    "execution_count": 8, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -222,7 +238,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 8, | ||||
|    "execution_count": 9, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -251,7 +267,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 9, | ||||
|    "execution_count": 10, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -262,7 +278,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 23, | ||||
|    "execution_count": 11, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -287,7 +303,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 11, | ||||
|    "execution_count": 12, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -295,7 +311,7 @@ | ||||
|    "source": [ | ||||
|     "text_input.on_submit(submit_new_message)\n", | ||||
|     "\n", | ||||
|     "text_input.observe(lambda b: trigger_new_prediction(None, text_input.value))" | ||||
|     "#text_input.observe(lambda b: trigger_new_prediction(None, text_input.value))" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
| @ -308,7 +324,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 12, | ||||
|    "execution_count": 13, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -329,7 +345,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 13, | ||||
|    "execution_count": 14, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -347,7 +363,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 14, | ||||
|    "execution_count": 15, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -365,7 +381,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 15, | ||||
|    "execution_count": 16, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -383,7 +399,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 16, | ||||
|    "execution_count": 17, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -401,7 +417,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 17, | ||||
|    "execution_count": 18, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -419,7 +435,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 18, | ||||
|    "execution_count": 19, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -437,7 +453,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 19, | ||||
|    "execution_count": 20, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -455,7 +471,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 20, | ||||
|    "execution_count": 21, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -473,7 +489,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 21, | ||||
|    "execution_count": 22, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
| @ -511,13 +527,13 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 22, | ||||
|    "execution_count": 24, | ||||
|    "metadata": {}, | ||||
|    "outputs": [ | ||||
|     { | ||||
|      "data": { | ||||
|       "application/vnd.jupyter.widget-view+json": { | ||||
|        "model_id": "dc2c580ed3224ae7b2582c7c039813dd", | ||||
|        "model_id": "9b6fd63901c84db9a5a2d10399053cb3", | ||||
|        "version_major": 2, | ||||
|        "version_minor": 0 | ||||
|       }, | ||||
| @ -527,6 +543,16 @@ | ||||
|      }, | ||||
|      "metadata": {}, | ||||
|      "output_type": "display_data" | ||||
|     }, | ||||
|     { | ||||
|      "name": "stdout", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "8 4 4\n", | ||||
|       "8 4 4\n", | ||||
|       "8 4 4\n", | ||||
|       "8 4 4\n" | ||||
|      ] | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
| @ -537,6 +563,15 @@ | ||||
|     "display(total_layout)" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "metadata": { | ||||
|     "collapsed": true | ||||
|    }, | ||||
|    "outputs": [], | ||||
|    "source": [] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|  | ||||
		Reference in New Issue
	
	Block a user