Python · Theory

PySpark MLlib

Theory

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PySpark MLlib

PySpark MLlib is a specialised library. Say what job it does in one line, then one tiny call you would write. Don’t fake a full ML pipeline on a fresher page.

PySpark MLlib: PyTorch = tensors/models. OpenCV = images. SimpleImputer = fill missing numbers. Folium = maps. Spark/MLlib = big data. nsetools = market quotes. Grid search = try hyper-parameters. scraping = fetch HTML then parse.

Viva for PySpark MLlib — purpose + one function name + one caution (API keys, missing values, robots.txt).

PySpark MLlib — output — 87.5. Spark does this on a cluster; locally it is still mean of marks.

Exam tip

What it does + one API name + one caution.

Example

# PySpark MLlib
rows = [("Asha", 90), ("Ravi", 85)]
print(sum(m for _, m in rows) / len(rows))

PySpark MLlib — output: 87.5. Spark does this on a cluster; locally it is still mean of marks.

Short notes

DefPySpark MLlib — one job, one library.
RulePySpark MLlib — purpose + one call.
TrapPySpark MLlib — copying a huge notebook without explaining one line.

Python · Theory

PySpark MLlib

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Theory

97/268

PySpark MLlib

PySpark MLlib is a specialised library. Say what job it does in one line, then one tiny call you would write. Don’t fake a full ML pipeline on a fresher page.

Viva for PySpark MLlib — purpose + one function name + one caution (API keys, missing values, robots.txt).

PySpark MLlib — output — 87.5. Spark does this on a cluster; locally it is still mean of marks.

Exam tip

What it does + one API name + one caution.

Example

# PySpark MLlib
rows = [("Asha", 90), ("Ravi", 85)]
print(sum(m for _, m in rows) / len(rows))

PySpark MLlib — output: 87.5. Spark does this on a cluster; locally it is still mean of marks.

Short notes

DefPySpark MLlib — one job, one library.
RulePySpark MLlib — purpose + one call.
TrapPySpark MLlib — copying a huge notebook without explaining one line.

PySpark MLlib

Example

Short notes

Questions

PySpark MLlib

Example

Short notes

Questions