New release of tick : Tick 0.5

This new release of tick adds many new features and bugs corrections.

Highlights:

Pip wheels for Windows (which can now be installed with pip install tick)
Single (32 bits) and double (64 bits) precisions in the C++ code base to allow faster computations at the expense of precision
Atomic solvers for multicore optimization with variance reduced stochastic gradient descent (ASVRG, ASAGA)

New features

Added optional rotation of x_ticklabels for plot_hawkes_kernel_norms
Add linear system solver to array
Sparse/Dense column major arrays
Added ability to choose custom node names in plot_point_process
Finalize serializing sparse features on models with test
Allow serialization of ModelLabelsFeatureswith sparse features
SAGA uses AtomicSAGA C++ if threads > 1
Record history in C++ to allow sto solvers to be quicker
Atomic solvers
allow MKL in source build if available
Allow debug pyenv
Make ASVRG converge more properly with several threads
Added a new example for 2d linear regression
Fix reference counting for deserialized sparsearrays
Atomic Prox/Model
Compute metrics (such a objective) only if they will be recorded.
Add atomics arrays
Add new float tests on array serialization
ModelHawkesExpKernLogLik fit operation order for end_times
Python serialization of cereal objects through SWIG
Add ConvSCCS learner
add serialization to solvers - include gtests
add serialization and comparison functions to prox module
add serialization and comparison functions to models
add appveyor CI
template coxreg in survival module to support float type
add single template parameter to solvers to support float types
Add single template parameter to prox module to allow use of float types
Launch C++ benchmarks and save plot results to files
Add single template parameter to base/linear/robust models to support float types
Make least sq weights computation faster

Also add a contain method Split out common test functions for array gtests
Rearrange vector operations for simple updates
GCC 4.8 has problems with lambdas, switching to function version
C++ google tests working on appveyor
Set swig to use relative paths and just use a single -Ilib/swig for search path
Remove requirement for cereal JSON archives in Python/etc
Quicker builds on appveyor - stops 1 hour timeout
testing docker and python 3.7 on travis
quicker mac builds on travis
Add tensorflow installation in docker file (to be compliant with HawkesCumulantMatching)
Addition of examples for yapf - and include cpp-tests in clang format (requires >= clang6)
Remove duplicate variable 'positive' from ProxWithGroups
remove DBL_* in templated code and replace with std numeric_limits
module reformatting to minimise changes from future changes
code cleaning - remove superfluous virtual and minimize get_class_name using RTTI