machine-learning.ipynb does not work #27
Description
Executing line
km = dask_ml.cluster.KMeans(n_clusters=3, init_max_iter=2, oversampling_factor=10)
km.fit(X)results in
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-14-7d3bc4c475f7> in <module>()
1 km = dask_ml.cluster.KMeans(n_clusters=3, init_max_iter=2, oversampling_factor=10)
----> 2 km.fit(X)
/opt/conda/lib/python3.6/site-packages/dask_ml/cluster/k_means.py in fit(self, X, y)
197 max_iter=self.max_iter,
198 init_max_iter=self.init_max_iter,
--> 199 tol=self.tol,
200 )
201 self.cluster_centers_ = centroids
/opt/conda/lib/python3.6/site-packages/dask_ml/cluster/k_means.py in k_means(X, n_clusters, init, precompute_distances, n_init, max_iter, verbose, tol, random_state, copy_x, n_jobs, algorithm, return_n_iter, oversampling_factor, init_max_iter)
268 random_state=random_state,
269 oversampling_factor=oversampling_factor,
--> 270 init_max_iter=init_max_iter,
271 )
272 if return_n_iter:
/opt/conda/lib/python3.6/site-packages/dask_ml/cluster/k_means.py in _kmeans_single_lloyd(X, n_clusters, max_iter, init, verbose, x_squared_norms, random_state, tol, precompute_distances, oversampling_factor, init_max_iter)
550 counts = da.maximum(counts, 1)
551 new_centers = new_centers / counts[:, None]
--> 552 new_centers, = compute(new_centers)
553
554 # Convergence check
/opt/conda/lib/python3.6/site-packages/dask/base.py in compute(*args, **kwargs)
400 keys = [x.__dask_keys__() for x in collections]
401 postcomputes = [x.__dask_postcompute__() for x in collections]
--> 402 results = schedule(dsk, keys, **kwargs)
403 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])
404
/opt/conda/lib/python3.6/site-packages/distributed/client.py in get(self, dsk, keys, restrictions, loose_restrictions, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, **kwargs)
2191 try:
2192 results = self.gather(packed, asynchronous=asynchronous,
-> 2193 direct=direct)
2194 finally:
2195 for f in futures.values():
/opt/conda/lib/python3.6/site-packages/distributed/client.py in gather(self, futures, errors, maxsize, direct, asynchronous)
1566 return self.sync(self._gather, futures, errors=errors,
1567 direct=direct, local_worker=local_worker,
-> 1568 asynchronous=asynchronous)
1569
1570 @gen.coroutine
/opt/conda/lib/python3.6/site-packages/distributed/client.py in sync(self, func, *args, **kwargs)
651 return future
652 else:
--> 653 return sync(self.loop, func, *args, **kwargs)
654
655 def __repr__(self):
/opt/conda/lib/python3.6/site-packages/distributed/utils.py in sync(loop, func, *args, **kwargs)
275 e.wait(10)
276 if error[0]:
--> 277 six.reraise(*error[0])
278 else:
279 return result[0]
/opt/conda/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
691 if value.__traceback__ is not tb:
692 raise value.with_traceback(tb)
--> 693 raise value
694 finally:
695 value = None
/opt/conda/lib/python3.6/site-packages/distributed/utils.py in f()
260 if timeout is not None:
261 future = gen.with_timeout(timedelta(seconds=timeout), future)
--> 262 result[0] = yield future
263 except Exception as exc:
264 error[0] = sys.exc_info()
/opt/conda/lib/python3.6/site-packages/tornado/gen.py in run(self)
1097
1098 try:
-> 1099 value = future.result()
1100 except Exception:
1101 self.had_exception = True
/opt/conda/lib/python3.6/site-packages/tornado/gen.py in run(self)
1105 if exc_info is not None:
1106 try:
-> 1107 yielded = self.gen.throw(*exc_info)
1108 finally:
1109 # Break up a reference to itself
/opt/conda/lib/python3.6/site-packages/distributed/client.py in _gather(self, futures, errors, direct, local_worker)
1445 six.reraise(type(exception),
1446 exception,
-> 1447 traceback)
1448 if errors == 'skip':
1449 bad_keys.add(key)
/opt/conda/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
690 value = tp()
691 if value.__traceback__ is not tb:
--> 692 raise value.with_traceback(tb)
693 raise value
694 finally:
/opt/conda/lib/python3.6/site-packages/numba/dispatcher.py in _compile_for_args()
366 e.patch_message(''.join(e.args) + help_msg)
367 # ignore the FULL_TRACEBACKS config, this needs reporting!
--> 368 raise e
369
370 def inspect_llvm(self, signature=None):
/opt/conda/lib/python3.6/site-packages/numba/dispatcher.py in _compile_for_args()
323 argtypes.append(self.typeof_pyval(a))
324 try:
--> 325 return self.compile(tuple(argtypes))
326 except errors.TypingError as e:
327 # Intercept typing error that may be due to an argument
/opt/conda/lib/python3.6/site-packages/numba/dispatcher.py in compile()
651
652 self._cache_misses[sig] += 1
--> 653 cres = self._compiler.compile(args, return_type)
654 self.add_overload(cres)
655 self._cache.save_overload(sig, cres)
/opt/conda/lib/python3.6/site-packages/numba/dispatcher.py in compile()
81 args=args, return_type=return_type,
82 flags=flags, locals=self.locals,
---> 83 pipeline_class=self.pipeline_class)
84 # Check typing error if object mode is used
85 if cres.typing_error is not None and not flags.enable_pyobject:
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in compile_extra()
871 pipeline = pipeline_class(typingctx, targetctx, library,
872 args, return_type, flags, locals)
--> 873 return pipeline.compile_extra(func)
874
875
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in compile_extra()
365 self.lifted = ()
366 self.lifted_from = None
--> 367 return self._compile_bytecode()
368
369 def compile_ir(self, func_ir, lifted=(), lifted_from=None):
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in _compile_bytecode()
802 """
803 assert self.func_ir is None
--> 804 return self._compile_core()
805
806 def _compile_ir(self):
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in _compile_core()
789 self.define_pipelines(pm)
790 pm.finalize()
--> 791 res = pm.run(self.status)
792 if res is not None:
793 # Early pipeline completion
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in run()
251 # No more fallback pipelines?
252 if is_final_pipeline:
--> 253 raise patched_exception
254 # Go to next fallback pipeline
255 else:
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in run()
243 try:
244 event(stage_name)
--> 245 stage()
246 except _EarlyPipelineCompletion as e:
247 return e.result
/opt/conda/lib/python3.6/site-packages/numba/compiler.py in stage_generic_rewrites()
478 with self.fallback_context(msg):
479 rewrites.rewrite_registry.apply('before-inference',
--> 480 self, self.func_ir)
481
482 def stage_nopython_rewrites(self):
/opt/conda/lib/python3.6/site-packages/numba/rewrites/registry.py in apply()
68 key, block = work_list.pop()
69 matches = rewrite.match(func_ir, block, pipeline.typemap,
---> 70 pipeline.calltypes)
71 if matches:
72 if config.DEBUG or config.DUMP_IR:
/opt/conda/lib/python3.6/site-packages/numba/rewrites/static_getitem.py in match()
19 if expr.op == 'getitem':
20 try:
---> 21 const = func_ir.infer_constant(expr.index)
22 except errors.ConstantInferenceError:
23 continue
/opt/conda/lib/python3.6/site-packages/numba/ir.py in infer_constant()
962 if isinstance(name, Var):
963 name = name.name
--> 964 return self._consts.infer_constant(name)
965
966 def get_definition(self, value, lhs_only=False):
/opt/conda/lib/python3.6/site-packages/numba/consts.py in infer_constant()
32 if name not in self._cache:
33 try:
---> 34 self._cache[name] = (True, self._do_infer(name))
35 except ConstantInferenceError as exc:
36 # Store the exception args only, to avoid keeping
/opt/conda/lib/python3.6/site-packages/numba/consts.py in _do_infer()
58 "no single definition for %r" % (name,))
59 try:
---> 60 const = defn.infer_constant()
61 except ConstantInferenceError:
62 if isinstance(defn, ir.Expr):
/opt/conda/lib/python3.6/site-packages/numba/ir.py in infer_constant()
344
345 def infer_constant(self):
--> 346 raise ConstantInferenceError('%s' % self, loc=self.loc)
347
348
/opt/conda/lib/python3.6/site-packages/numba/errors.py in __init__()
526 self.value = value
527 msg = "Cannot make a constant from: %s" % value
--> 528 super(ConstantInferenceError, self).__init__(msg, loc=loc)
529
530
/opt/conda/lib/python3.6/site-packages/numba/errors.py in __init__()
386 if loc:
387 super(NumbaError, self).__init__(
--> 388 highlight("%s\n%s\n" % (msg, loc.strformat())))
389 else:
390 super(NumbaError, self).__init__(highlight("%s" % (msg,)))
/opt/conda/lib/python3.6/site-packages/numba/ir.py in strformat()
85
86 ret.extend(selected[:-1])
---> 87 ret.append(_termcolor.highlight(selected[-1]))
88
89 # point at the problem with a caret
IndexError: Failed at nopython (nopython rewrites)
list index out of range