From cb660d89f92033cb1d39b9813a6c6f79a931b38b Mon Sep 17 00:00:00 2001 From: Jeremy Bradley-Silverio Donato Date: Thu, 6 Jan 2022 17:46:36 +0100 Subject: [PATCH] docs: Update PoissonRegression.ipynb --- docs/user/advanced_examples/PoissonRegression.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/user/advanced_examples/PoissonRegression.ipynb b/docs/user/advanced_examples/PoissonRegression.ipynb index a8001447a..46f1b0c7a 100644 --- a/docs/user/advanced_examples/PoissonRegression.ipynb +++ b/docs/user/advanced_examples/PoissonRegression.ipynb @@ -575,7 +575,7 @@ "\n", "Here is where we encounter one of the limitations of our framework. We perform a dot product in the prediction, in the QuantizedLinear class, but in our framework the maximum integer size is, for now, limited to 7 bits. As every multiplication doubles the number of bits of precision of the inputs performing 57 multiplication-additions of integers to compute w.x would quickly overflow 7 bits. \n", "\n", - "As a workaround the limited accumulator resolution, we perform PCA to reduce dimensionality from 57 to 14 dimensions and train our multi-variate model in this reduced dimensionality space. However, we also train a reference model on all of the original features. " + "As a workaround to the limited accumulator resolution, we perform PCA to reduce dimensionality from 57 to 14 dimensions and train our multi-variate model in this reduced dimensionality space. However, we also train a reference model on all of the original features. " ] }, {