Alisa Zhila alisatl
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| import pandas as pd | |
| %matplotlib inline | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| sns.set() | |
| ordered_groups = merch_group_metrics_pdf_retail.index |
alisatl
/ categorical_bar_plot.py
Last active
June 3, 2020 19:30
Bar plot ordered by categories in Pandas
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| import pandas as pd | |
| judgements = ['strong', 'attribute mismatch', 'weak/related', 'unrelated', 'unjudged'] | |
| for key, report in reports.items(): | |
| report['judgement'] = pd.Categorical(report['judgement'], categories=judgements, ordered=True) | |
| %matplotlib inline | |
| import matplotlib | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns |
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| # Evaluation function | |
| import pandas as pd | |
| from sklearn.metrics import accuracy_score | |
| from sklearn.metrics import confusion_matrix | |
| from sklearn.metrics import precision_recall_fscore_support as pr | |
| from sklearn.metrics import roc_curve, auc | |
| from IPython.display import display | |
| import matplotlib.pyplot as plt |
alisatl
/ Makefile.config
Created
November 8, 2016 18:25
Sample Caffe Mekefile.config for Python Anaconda + NO CUDA/CPU ONLY
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| ## Refer to http://caffe.berkeleyvision.org/installation.html | |
| # Contributions simplifying and improving our build system are welcome! | |
| # cuDNN acceleration switch (uncomment to build with cuDNN). | |
| # USE_CUDNN := 1 | |
| # CPU-only switch (uncomment to build without GPU support). | |
| CPU_ONLY := 1 | |
| # uncomment to disable IO dependencies and corresponding data layers |
alisatl
/ Example_II.2.1.b_results.json
Created
April 20, 2016 21:46
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| { | |
| "response":{"numFound":3,"start":0,"docs":[] | |
| }, | |
| "facet_counts":{ | |
| "facet_queries":{}, | |
| "facet_fields":{ | |
| "text":[ | |
| "Elasticsearch",2, | |
| "Solr",3, | |
| "Solr 5.5",1, |
alisatl
/ Example_II.2.1.a_results.json
Created
April 20, 2016 21:44
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| { | |
| "response":{"numFound":2,"start":0,"docs":[] | |
| }, | |
| "facet_counts":{ | |
| "facet_queries":{}, | |
| "facet_fields":{ | |
| "text":[ | |
| "Elasticsearch",2, | |
| "Solr",2, | |
| "Solr 5.5",1, |
alisatl
/ Example_II.1.2.2.b_results.json
Last active
May 2, 2016 22:29
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| { | |
| "response":{"numFound":3,"start":0,"docs":[] | |
| }, | |
| "facets":{ | |
| "count":3, | |
| "filter_by_child_type":{ | |
| "count":9, | |
| "top_entity_text":{ | |
| "buckets":[{ | |
| "val":"Solr", |
alisatl
/ Example_II.1.2.2.a_results.json
Created
April 20, 2016 21:36
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| { | |
| "response":{"numFound":2,"start":0,"docs":[] | |
| }, | |
| "facets":{ | |
| "count":2, | |
| "filter_by_child_type":{ | |
| "count":9, | |
| "top_keywords":{ | |
| "buckets":[{ | |
| "val":"Elasticsearch", |
alisatl
/ Example_II.1.2.1_results.json
Created
April 20, 2016 21:32
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| { | |
| "response":{"numFound":2,"start":0,"docs":[] | |
| }, | |
| "facets":{ | |
| "count":2, | |
| "filter_by_child_type":{ | |
| "count":3, | |
| "comment_sentiments":{ | |
| "buckets":[{ | |
| "val":"negative", |
alisatl
/ Example_II.1.1.b_results.json
Created
April 20, 2016 21:29
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| { | |
| "response":{"numFound":1,"start":0,"docs":[ | |
| { | |
| "text":["Yeah, I like Solr too"]}] | |
| }, | |
| "facets":{ | |
| "count":1, | |
| "blog_authors_with_positive_replies":{ | |
| "buckets":[{ | |
| "val":"Alice", |
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