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#' Get a PubMed search index | |
#' @param query a PubMed search string | |
#' @return the XML declaration of the search | |
#' @example | |
#' # Which articles discuss the WHO FCTC? | |
#' pubmed_ask("FCTC OR 'Framework Convention on Tobacco Control'") | |
pubmed_ask <- function(query) { | |
# change spaces to + and single-quotes to URL-friendly %22 in query | |
query = gsub("'", "%22", gsub(" ", "+", query)) |
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# This code uses Biopython to retrieve lists of articles from pubmed | |
# you need to install Biopython first. | |
# If you use Anaconda: | |
# conda install biopython | |
# If you use pip/venv: | |
# pip install biopython | |
# Full discussion: |
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from keras.models import Sequential | |
from keras.layers import Dense | |
x, y = ... | |
x_val, y_val = ... | |
# 1-dimensional MSE linear regression in Keras | |
model = Sequential() | |
model.add(Dense(1, input_dim=x.shape[1])) | |
model.compile(optimizer='rmsprop', loss='mse') |