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I’m laughing at the part where they say they’re going to do a complex task and the chosen example is “remove null values”. df = df.dropna() Wow Edit: more se
by fauxpause_ 3y ago
I’m laughing at the part where they say they’re going to do a complex task and the chosen example is “remove null values”.
df = df.dropna()
Wow
Edit: more seriously though… this is a non deterministic pipeline that seems to mutate your data in place with no indication of what it did.
- chasd00 3y ago> non deterministic pipeline that seems to mutate your data in place with no indication of what it did /dev/random has been around for a while, i wonder why they didn't just use that. ;)
- roter 3y agoWhen I saw the NaNs, my first thought was the example was going to be predict the NaN values, not drop them.
- czbond 3y agoAnd shouldn't it have just used fillna to boot?
- fauxpause_ 3y agoI think that ambiguity is part of the charm of natural language instructions
- data-ottawa 3y agoWhen the package returns that the AI couldn't do the task but the data is modified anyway... that is a recipe for disaster. It would be much better if the AI just helped you write the code, it's more ergonomic and auditable, and it will scale better when your data frame is measured in the 10s to 10,000s of megabytes.