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| library("lavaan") | |
| library(xtable) | |
| options(xtable.floating = FALSE) | |
| options(xtable.timestamp = "") | |
| DM.data = read.csv("C:\\data.csv", header = TRUE) | |
| DM.model <- ' | |
| # Measurement model Ref: http://lavaan.ugent.be/ | |
| # Model: http://lavaan.ugent.be/tutorial/figure/sem.png |
| from("timer://scheduler?period=30s") | |
| .log("get access token") | |
| .to("direct:authService"); | |
| from("direct:authService").tracing() | |
| .setHeader(Exchange.HTTP_PATH) | |
| .simple("<auth service context>/oauth2/token") | |
| .setHeader("CamelHttpMethod") | |
| .simple("POST") | |
| .setHeader("Content-Type") |
| @misc{Eapen2016, | |
| author = {Eapen, BR.}, | |
| title = {Behavioural Research support tools in Python including Grounded Theory Dictionary Generator.}, | |
| year = {2016}, | |
| publisher = {GitHub}, | |
| journal = {GitHub repository}, | |
| howpublished = {\url{https://github.com/dermatologist/nlp-qrmine}}, | |
| commit = {4f57d6a0e4c030202a07a60bc1bb1ed1544bf679} | |
| } |
| #!/bin/bash | |
| BIND_NETWORK='192.168' | |
| RUBY_VERSION='2.4' | |
| BUNDLER_VERSION='1.14' | |
| AVALON_REPO='https://github.com/cwant/avalon' | |
| AVALON_BRANCH='cwant/docker-refactor' | |
| SRC_DIR=$HOME/gitwork | |
| AVALON_DIR=$SRC_DIR/avalon |
| import os | |
| import codecs | |
| data_directory = os.path.join('..', 'data', | |
| 'yelp_dataset_challenge_academic_dataset') | |
| businesses_filepath = os.path.join(data_directory, | |
| 'yelp_academic_dataset_business.json') | |
| with codecs.open(businesses_filepath, encoding='utf_8') as f: |
| // Create a Singularity image from a Docker image that is in the Docker hub | |
| // where /tmp/ is the folder where the image will be created and ubuntu:14.04 | |
| // is the docker image used to convert to the Singularity image | |
| docker run \ | |
| -v /var/run/docker.sock:/var/run/docker.sock \ | |
| -v /tmp/:/output \ | |
| --privileged -t --rm \ | |
| singularityware/docker2singularity \ | |
| ubuntu:14.04 | |
| // |
| #!/usr/bin/env bash | |
| # Fully backup a docker-compose project, including all images, named and unnamed volumes, container filesystems, config, logs, and databases. | |
| project_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && cd .. && pwd )" | |
| cd "$project_dir" | |
| project_name=$(basename "$project_dir") | |
| backup_time=$(date +"%Y-%m-%d_%H-%M") | |
| backup_dir="$project_dir/data/backups/$backup_time" |
| import os | |
| from gensim.models import KeyedVectors | |
| from gensim.scripts.glove2word2vec import glove2word2vec | |
| if os.path.exists('cui2vec_w.txt'): | |
| wv_from_text = KeyedVectors.load_word2vec_format('cui2vec_w.txt', unicode_errors='ignore') | |
| print(wv_from_text.most_similar("C0000052", topn=2)) | |
| wv_from_text.save_word2vec_format('cui2vec_w.bin', binary=True) | |
| else: | |
| with open("cui2vec_pretrained.csv",'r') as f: |
| # Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib | |
| # in an Alpine based Docker image. | |
| FROM alpine:3.4 | |
| RUN echo "http://dl-8.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories | |
| RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev | |
| RUN ln -s /usr/include/locale.h /usr/include/xlocale.h | |
| RUN pip install numpy scipy pandas matplotlib | |
