/books/machine-learning-in-elixir
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Getting an error when installing the dependencies at the start of this chapter:
could not compile dependency :exla, "mix compile&qu...
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Hello @seanmor5 ,
When upgrading Axon to 0.7, evaluation fails with:
** (ArgumentError) argument at position 3 is not compatible with c...
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Page 226
Mix install uses older versins of exla, should 0.6 to work with cuda120
Page 230
targets pipeline in Data module misses |>...
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Hey @seanmor5 ,
Similar to the errata on deprecation on page 44, on page 128:
Nx.random_uniform({})
|> NeuralNetwork.predict(w1, b1,...
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Comments to Chapter 11 version B 3.0
@seanmor5
The dependencies from chapter 11 gave errors on 10 march 2024.
I followed the advices...
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Hello @seanmor5! Thanks a lot for the amazing book and new chapter :purple_heart:
I got a couple of errors when trying to run the exampl...
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I guess the second log should be : 1-y_pred
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The batch chunking in the CatsAndDogs module in Chapter 8 misses :discard
Should be in two places:
|> Stream.chunk_every(batch_size,...
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@seanmor5
{:scholar, “~> 0.1”} allows Scholar versions greater than 0.1 to be installed. This means that code on page 106 won’t run b...
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Hello @seanmor5 !
On page 180 the link to the onnx model is outdated : https://github.com/onnx/models/blob/main/vision/classification/mo...
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Not sure if I did something wrong but it seems like the code should instead be
Scholar.Metrics.Classification.accuracy(test_targets, tes...
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@seanmor5
I am enjoying the book so far, but ran into an Elixir error on the last example in chapter 1:
In my last Livebook cell I have...
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Comments on Chapter 12, Version B 3.0
@seanmor5
All the Axon.Optimizers.adam(…) should be replaced by Polaris.Optimizers.adam( learning_...
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Comments on chapter 13, version B 3.0
@seanmor5
One advice: build the phoenix from scratch, do not use the version from the example code...
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@seanmor5
On p. 41 it says:
For now, you’ll use standardization to scale your data…
then the following code is given
cols = ~w(sepa...
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@seanmor5
The mutate macro from the Explorer.DataFrame variable does not like variables:
It works without the variable:
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Running the code snippet of Chapter 2 on page 44 of version B1.0, I get the following error:
Evaluation process terminated - an exceptio...
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@seanmor5
I don’t know if there’s much you can do about it, but the SSL certificate for the Wine dataset from archive.ics.uci.edu has an...
New
Hey @seanmor5,
I’m having great training accuracy but poor evaluation accuracy for the example in Chapter 1 when following the code in t...
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@seanmor5
For Explorer.Query to access variables defined outside of the query ^ must be used.
Updated in the example below:
cols = ~w(...
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@seanmor5
Title: Machine Learning in Elixir (epub so pages different i think)
From book:
Current output:
Diff:
inputs: %{&qu...
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@seanmor5
In book:
Actual
Diff-ish
Polars[150 x 5]
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Version: B1.0
On page 104 the code:
Scholar.Metrics.confusion_matrix(test_targets, test_preds)
throws an error: required :num_classes ...
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@seanmor5
Title: Machine Learning in elixir: Some problems with chapter 7 in Version B2.0
On 3 january 2024 I downloaded the Cats & ...
New
Some minor nits in the beta version:
“but is often considered it’s own type of machine learning.” → should be “its”
“represents a d...
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This didn’t seem right to me:
For instance, you can squeeze the values of a feature between 0 and 1 by dividing every individual featur...
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Hey @seanmor5,
The function given in the book
defn profits(trees) do
trees
|> Nx.pow(4)
|> Nx.negate()
|> Nx.add(Nx.mu...
New
Version: B1.0
On page 100 (epub version) the code:
model = Scholar.Clustering.KMeans.fit(train_inputs, num_clusters: 3)
throws an er...
New
Version: B1.0
On page 103 & 104 where the code example is:
Scholar.Linear.LogisticRegression.fit( train_inputs,
train_targets,
num_...
New
Machine Learning in Elixir: Scholar.Clustering.KMeans.fit/2 is undefined (B1.0, Chapter 5, Page 109)
Hey @seanmor5,
On page 109:
model = Scholar.Clustering.KMeans.fit(train_inputs, num_clusters: 3)
results in an UndefinedFunctionError....
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Title: Machine Learning in Elixir: Learning to Learn with Nx and Axon (6)
“You will sometimes see surprising due to precision issues.”
...
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Version: B1.0
TL;DR: In page 98 should say two instead of three tensors:
Where it says
Next, you create three random normal tensors: ...
New
“You will sometimes see surprising … due to precision issues.”
Missing word, maybe “consequences” or “effects” ?
Thanks for the great j...
New
Examples in GradFun module will show the following warning with Nx 0.5.3
warning: Nx.Defn.Kernel.inspect_expr/1 is deprecated. Use print...
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@seanmor5
In the example:
Nx.tensor(0.0000000000000000000000000000000000000000000001)
is said to be 1.0e-45 but it is actually 1.0e-46
New
@seanmor5
Title: Manchine learning with elixir: description page 106
Scholar.Metrics.accuracy(test_targets, test_preds)
do not work, ...
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@seanmor5
When running the code on page 16 to create the one hot encoded tensors, I get an Nx error I am not able to make sense of:
** ...
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Hi @seanmor5 ,
I’m reading the book and editing a livebook in parallel as suggested. I’m facing an error while executing the last code s...
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@seanmor5
Looks like the Nx.Random.uniform_split has been changed with /3 and /4 arity, so the current /2 arity call does not work.
How...
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@seanmor5
In page 66
you don’t need to have an intimiate under-
standing of these concepts.
Must be intimate
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@seanmor5
On Page 294, cannot run the training loop. I think the Axon.Loop.handle signature has changed. Getting this error:
step_fn
|&...
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@seanmor5
Use of Nx.Random.uniform_split/2 I think should be Nx.Random.uniform_split/4, e.g.:
Nx.Random.uniform_split(new_key, 0, 1, sh...
New
@seanmor5
When I try the
Nx.Random.uniform_split(new_key, split: {}) function in page 130 I got an undefined function error
** (Undefin...
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@seanmor5
While you might see some tasks thrown into it distinct categories
I think we’re missing something here, like “it[s] own dis...
New
The model training loop on page 273 should visualize the model output after each epoch. Instead, an argument error is reported after the ...
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