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what is the difference between 'transform' and 'fit_transform' in sklearn
... fit model and make model to run, where we know that what we
are going to predict
.fit_transform():
is use in Unsupervised Learning having one object/parameter(x),
where we don't know, what we are going to predict.
share...
When should I use uuid.uuid1() vs. uuid.uuid4() in python?
...d UUIDs before an attacker can determine the RNG state, and thus partially predict future UUIDs.
import random
from uuid import uuid1
def uuid1mc_insecure():
return uuid1(random.getrandbits(48) | 0x010000000000)
shar...
How to extract the decision rules from scikit-learn decision-tree?
... node_indicator.indptr[sample_id + 1]]
print('Rules used to predict sample %s: ' % sample_id)
for node_id in node_index:
if leave_id[sample_id] == node_id: # <-- changed != to ==
#continue # <-- comment out
print("leaf node {} reached, no decision here".for...
Unique random string generation
...the sequence of V4 GUIDs is pseudo-random, given the initial state one can predict up to next 250 000 GUIDs returned by the function UuidCreate. This is why GUIDs should not be used in cryptography, e. g., as random keys.
Instead, just use the C# Random method. Something like this (code found here)...
Why doesn't C++ have a garbage collector?
...rated by Martin Beckett the problem may not be performance per se, but the predictability of performance.
There are currently 2 families of GC that are widely deployed:
Mark-And-Sweep kind
Reference-Counting kind
The Mark And Sweep is faster (less impact on overall performance) but it suffers f...
JSLint says “missing radix parameter”
...ways specify this parameter to eliminate reader confusion and to guarantee predictable behavior. Different implementations produce different results when a radix is not specified, usually defaulting the value to 10. Reference
– Andrew Lam
Jun 3 '17 at 5:10
...
Why '&&' and not '&'?
...) - as a short-circuit is a branch/jump; which could result in a branch-misprediction on your CPU; an & is much cheaper than &&. There is also a scenario where short-circuiting can actually break logic - have a look at this answer of mine.
Diatribe/Monologue: Regarding the branch mis-pr...
Why do we have to normalize the input for an artificial neural network?
...s then this big scaled feature becomes dominating and as a result of that, Predictions of the Neural Network will not be Accurate.
Example: In case of Employee Data, if we consider Age and Salary, Age will be a Two Digit Number while Salary can be 7 or 8 Digit (1 Million, etc..). In that Case, Sala...
What does “S3 methods” mean in R?
...atching. If you've used R for a while, you'll notice that there are print, predict and summary methods for a lot of different kinds of objects.
In S3, this works by:
setting the class of objects of
interest (e.g.: the return value of a
call to method glm has class glm)
providing a method with the...
Determine project root from a running node.js application
...ent of Rails.root , but for Node.js. I'm looking for something that is as predictable and reliable as possible.
31 Answers...