Fix typos. (#5481)

Replaces outdated PR #2907. (Just wanted to clear that PR off the backlog since it was pre-rebase and has old history.)

Authors:
  - Bradley Dice (https://github.com/bdice)
  - Dante Gama Dessavre (https://github.com/dantegd)

Approvers:
  - Simon Adorf (https://github.com/csadorf)
  - Dante Gama Dessavre (https://github.com/dantegd)

URL: #5481

CHANGELOG.md

@@ -1359,7 +1359,7 @@
 - PR #2310: Pinning ucx-py to 0.14 to make 0.15 CI pass
 - PR #1945: enable clang tidy
 - PR #2339: umap performance improvements
-- PR #2308: Using fixture for Dask client to eliminate possiblity of not closing
+- PR #2308: Using fixture for Dask client to eliminate possibility of not closing
 - PR #2345: make C++ logger level definition to be the same as python layer
 - PR #2329: Add short commit hash to conda package name
 - PR #2362: Implement binary/multi-classification log loss with cupy
@@ -1445,7 +1445,7 @@
 - PR #2496: Fixing indentation for simulate_data in test_fil.py
 - PR #2494: Set QN regularization strength consistent with scikit-learn
 - PR #2486: Fix cupy input to kmeans init
-- PR #2497: Changes to accomodate cuDF unsigned categorical changes
+- PR #2497: Changes to accommodate cuDF unsigned categorical changes
 - PR #2209: Fix FIL benchmark for gpuarray-c input
 - PR #2507: Import `treelite.sklearn`
 - PR #2521: Fixing invalid smem calculation in KNeighborsCLassifier
@@ -1987,7 +1987,7 @@
 - PR #1208: compile dbscan bug
 - PR #1016: Use correct libcumlprims version in GPU CI
 - PR #1040: Update version of numba in development conda yaml files
-- PR #1043: Updates to accomodate cuDF python code reorganization
+- PR #1043: Updates to accommodate cuDF python code reorganization
 - PR #1044: Remove nvidia driver installation from ci/cpu/build.sh
 - PR #991: Barnes Hut TSNE Memory Issue Fixes
 - PR #1075: Pinning Dask version for consistent CI results
@@ -2196,7 +2196,7 @@
 - PR #430: Add R-Squared Score to ml primitives
 - PR #463: Add matrix gather to ml primitives
 - PR #435: Expose cumlhandle in cython + developer guide
-- PR #455: Remove default-stream arguement across ml-prims and cuML
+- PR #455: Remove default-stream argument across ml-prims and cuML
 - PR #375: cuml cpp shared library renamed to libcuml++.so
 - PR #460: Random Forest & Decision Trees (Single-GPU, Classification)
 - PR #491: Add doxygen build target for ml-prims

cpp/test/sg/genetic/evolution_test.cu

@@ -121,7 +121,7 @@ class GeneticEvolutionTest : public ::testing::Test {
   const int n_tr_rows   = 250;
   const int n_tst_rows  = 50;
   const int n_cols      = 2;
-  const float tolerance = 0.025f;  // assuming upto 2.5% tolerance for results(for now)
+  const float tolerance = 0.025f;  // assuming up to 2.5% tolerance for results(for now)
 
   // Contains synthetic Data
   // y =

cpp/test/sg/genetic/program_test.cu

@@ -164,7 +164,7 @@ class GeneticProgramTest : public ::testing::Test {
   const int n_progs     = 2;
   const int n_samples   = 25;
   const int n_samples2  = 5;
-  const float tolerance = 0.025f;  // assuming upto 2.5% tolerance for results(for now)
+  const float tolerance = 0.025f;  // assuming up to 2.5% tolerance for results(for now)
 
   // 25*3 datapoints generated using numpy
   // y = X[0] * X[1] + X[2] + 0.5

cpp/test/sg/svc_test.cu

@@ -1170,7 +1170,7 @@ TYPED_TEST(SmoSolverTest, SvcTest)
                            {1, 1, 2, 2, 1, 2, 2, 3},
                            {0, 2, 3, 5},
                            {-1.0, -1.4, 0.2, -0.2, 1.4, 1.0}}},
-    {// C == 0 marks a special tast case with sample weights
+    {// C == 0 marks a special test case with sample weights
      svcInput<TypeParam>{0,
                          0.001,
                          KernelParams{LINEAR, 3, 1, 0},

python/cuml/internals/input_utils.py

@@ -180,7 +180,7 @@ def get_supported_input_type(X):
     except UnavailableError:
         pass
 
-    # Return None if this type isnt supported
+    # Return None if this type is not supported
     return None
 
 

python/cuml/internals/logger.pyx

@@ -54,19 +54,19 @@ cdef extern from "cuml/common/logger.hpp" nogil:
     cdef int CUML_LEVEL_OFF
 
 
-"""Enables all log messages upto and including `trace()`"""
+"""Enables all log messages up to and including `trace()`"""
 level_trace = CUML_LEVEL_TRACE
 
-"""Enables all log messages upto and including `debug()`"""
+"""Enables all log messages up to and including `debug()`"""
 level_debug = CUML_LEVEL_DEBUG
 
-"""Enables all log messages upto and including `info()`"""
+"""Enables all log messages up to and including `info()`"""
 level_info = CUML_LEVEL_INFO
 
-"""Enables all log messages upto and including `warn()`"""
+"""Enables all log messages up to and including `warn()`"""
 level_warn = CUML_LEVEL_WARN
 
-"""Enables all log messages upto and include `error()`"""
+"""Enables all log messages up to and include `error()`"""
 level_error = CUML_LEVEL_ERROR
 
 """Enables only `critical()` messages"""
@@ -121,7 +121,7 @@ def set_level(level):
     .. code-block:: python
 
         # regular usage of setting a logging level for all subsequent logs
-        # in this case, it will enable all logs upto and including `info()`
+        # in this case, it will enable all logs up to and including `info()`
         logger.set_level(logger.level_info)
 
         # in case one wants to temporarily set the log level for a code block