Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
http://en.tldp.org/LDP/solrhe/Securing-Optimizing-Linux-RH-Edition-v1.3/x4733.html
https://stackoverflow.com/questions/14471564/what-does-ulimit-s-unlimited-do
https://access.redhat.com/solutions/384633
The attribute pandas.Series.str can only be used with Series of str values.
You will either encounter an AttributionError
(Can only use .str accessor with string values, which use np.object_ dtype in pandas)
or find it to yield a Series of NaN's if you invoke it on a Series of non-string values.
If you have control of the DataFrame,
the preferred way is to cast the type the column to str
sklearn.model_selection.train_test_split
is the best way to split a dataset into train and test subset
for scikit-learn compatible packages (scikit-learn, XGBoost, LightGBM, etc.).
It supports splitting both iterable objects (numpy array, list, pandas Series) and pandas DataFrames.
When splitting an iterable object,
it returns (train, test) where train and test are lists.
When splitting a pandas DataFrame,
it returns (train, test)
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://pjreddie.com/darknet/tiny-darknet/
https://pjreddie.com/darknet/
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
You can download prebuilt binary Spark at https://spark.apache.org/downloads.html. This is where you should get started and it will likely satisfy your need most of the time …